Analytics Vidhya @AnalyticsVidhya Twitter profile

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Analytics Vidhya

@AnalyticsVidhya

3 years

Visualizing Netflix Data Using Python: #Netflix #Python #DataScience #DataVisualization

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Analytics Vidhya

@AnalyticsVidhya

2 years

#DataScience Term of the Day: Ginni Index

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Analytics Vidhya

@AnalyticsVidhya

3 years

Which Data Science Job Role do you prefer? • ML Engineer • Data Analyst • Data Scientist • Other(Comment below)

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Analytics Vidhya

@AnalyticsVidhya

3 years

Performing EDA on Netflix Dataset with Plotly: #Netflix #EDA #DataVisualization

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Analytics Vidhya

@AnalyticsVidhya

2 years

Let’s determine the outcome of the harvest season, i.e. whether the crop🌾 would be healthy (alive), damaged by pesticides🧴, or damaged by other reasons⛈️, with the help of Machine Learning-

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Analytics Vidhya

@AnalyticsVidhya

6 years

SQL is a language every data scientist must learn. Learn the basics of #SQL and #RDBMS in this simplified guide! #BusinessIntelligence

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Analytics Vidhya

@AnalyticsVidhya

3 years

#Sklearn or scikit-learn is the most useful library for machine learning in #Python . Learn about different types of objects that are present in Sklearn and get a clear idea about the usecases of different functions in your #MachineLearning Pipeline -

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Analytics Vidhya

@AnalyticsVidhya

6 years

Andrew Ng's teachings on #machinelearning serve as a great introduction to the topic, but the only catch is it's done using #Octave . In this article, Srikar has used #Python to implement all the programming assignments. A very useful resource!

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Analytics Vidhya

@AnalyticsVidhya

7 years

MLR - one incredible package that includes all of the ML algorithms which we use frequently. Learn & practice how to use it in R, here. #rstats #machinelearning

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Analytics Vidhya

@AnalyticsVidhya

6 years

Time to get introduced to the concepts of #SQL and #RDBMS - take this simplified guide and get your hands on this language! #businessintelligence

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Analytics Vidhya

@AnalyticsVidhya

3 years

In order to become a complete #DataScientist it is essential to know the mathematics behind #MachineLearning . This article covers various mathematical aspects you need to know to become a machine learning master, incl. linear algebra, probability, and more

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Analytics Vidhya

@AnalyticsVidhya

2 years

Evaluating a model is a core part of building an effective machine learning model. Learn different evaluation metrics, like confusion matrix, cross-validation, AUC-ROC curve, etc in this power-packed article: #Evaluation #MachineLearning #AnalyticsVidhya

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Analytics Vidhya

@AnalyticsVidhya

6 years

From cheatsheets, video links, e-books, research paper links & more, here're Top 25 Data Science & Machine Learning GitHub Repositories that you must lay your hands on and put them into action, right here! #cheatsheet #github #datascience #machinelearning

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Analytics Vidhya

@AnalyticsVidhya

4 years

Are you looking to learn data science? What's a better way than applying your knowledge on a project? Here's a list of 24 #DataScience projects that you need to try today to improve your skillset! #MachineLearning #DataScientist #DataAnalysis

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Analytics Vidhya

@AnalyticsVidhya

3 years

📢 FREE Machine Learning Certification: If you invest 8 – 10 hours a week for this course, you can complete the entire course within 6 – 8 weeks! #machinelearning #course #beginner

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Analytics Vidhya

@AnalyticsVidhya

5 years

From cheatsheets, video links, e-books, research paper links & much more, here are the Top 25 (selected) Data Science and Machine Learning GitHub Repositories from 2018 - a must read!.

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Analytics Vidhya

@AnalyticsVidhya

4 years

How many time series techniques can you name? Here are 7 different methods to work with #TimeSeries data! Get a detailed explanation of each approach along with code to implement all 7 methods in #Python . #datascience #analytics #machinelearning

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Analytics Vidhya

@AnalyticsVidhya

8 years

XGBoost is one of the popular #machinelearning algorithm used in #datascience competitions?

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Analytics Vidhya

@AnalyticsVidhya

6 years

Here are 25 Best #DataScience Projects on GitHub from 2018 that you, as a data scientist, must lay hands on and improvise your skills! Simply click on each project title to head over to the code repository on #GitHub .

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Analytics Vidhya

@AnalyticsVidhya

6 years

Andrew Ng's teachings on #machinelearning serve as a great introduction to the topic, but the only catch is it's done using #Octave . Srikar, in this article, has used #Python to implement all the programming assignments. A very useful resource!

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Analytics Vidhya

@AnalyticsVidhya

6 years

This elaborative article will let you explore #MonteCarlo learning, right from its basics. It's a slightly complex subject and well explained by Ankit, right here. He's then using the #OpenAI Gym toolkit in #Python to implement this method as well:

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Analytics Vidhya

@AnalyticsVidhya

4 years

#avhackoftheday Create bar plot over your pandas dataframe! It'll give you a great yet simple overview of the data in just one line of code! #python #pandas

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Analytics Vidhya

@AnalyticsVidhya

4 years

Free Courses in Data Science, Machine Learning & Deep Learning for everyone (Join here 👉 ) #DataScience #MachineLearning #DeepLearning #COURSES

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Analytics Vidhya

@AnalyticsVidhya

6 years

A useful guide for all beginners in machine learning & data science - It lists down the most active data scientist on #github , free #books , #ipython notebooks, tutorials on github.

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Analytics Vidhya

@AnalyticsVidhya

6 years

Download this #cheatsheet which provides codes ( #Python and #R ) for 10 machine learning #algorithms - and keep it handy while working on data sets!

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Analytics Vidhya

@AnalyticsVidhya

3 years

Which was the first Machine Learning model that you built? 🤔 • K-NN • Linear Regression • Decision Tree • Other (Comment Below)

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Analytics Vidhya

@AnalyticsVidhya

3 years

Top Python libraries for Natural Language Processing. #NLP

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Analytics Vidhya

@AnalyticsVidhya

7 years

Time to get introduced to the concepts of SQL and RDBMS - take this simplified guide and get your hands on this language! #BusinessAnalytics #BusinessIntelligence

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Analytics Vidhya

@AnalyticsVidhya

5 years

A useful guide for all beginners in #machinelearning & #DataScience - It lists down the most active data scientist on github, free #books , ipython notebooks, tutorials on github.

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Analytics Vidhya

@AnalyticsVidhya

8 years

Naive Bayes Algorithm simplified in 6 easy steps, with codes in #Python . Get started! #machinelearning

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Analytics Vidhya

@AnalyticsVidhya

6 years

Naive Bayes Theorem is a best choice when you come across large data sets. These 6 steps, chalked out by Sunil, will get you started with it, pretty easily! #machinelearning #python #R

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Analytics Vidhya

@AnalyticsVidhya

4 years

Free Courses in Data Science, Machine Learning & Deep Learning for everyone (Join here 👉) #DataScience #MachineLearning

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Analytics Vidhya

@AnalyticsVidhya

7 years

Time to get introduced to the concepts of #SQL and RDBMS - take this simplified guide and get your hands on this language! (Author: Ajay Ohri) #BusinessIntelligence

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Analytics Vidhya

@AnalyticsVidhya

6 years

“Machine Learning to Predict Taxi Fare — Part One : Exploratory Analysis” by Aiswarya Ramachandran

Machine Learning to Predict Taxi Fare — Part One : Exploratory Analysis

Data Cleaning, Visualisation, Feature Engineering

medium.com

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Analytics Vidhya

@AnalyticsVidhya

7 years

NumPy, Matplotlib, Seaborn and Pandas - powerful libraries to perform data exploration in #Python . #datascience

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Analytics Vidhya

@AnalyticsVidhya

6 years

#AVBytes UC Berkeley has open sourced the largest and most diverse self-driving dataset in the world. As a data scientist, this is something you should get your hands on NOW! & there are 3 challenges as well to test yourself against the best. #SelfDriving

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Analytics Vidhya

@AnalyticsVidhya

6 years

Andrew Ng's teachings on #machinelearning serve as a great introduction to the topic, but the only catch is it's done using #Octave . In this article, Srikar has used #Python to implement all the programming assignments. A very useful resource!

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Analytics Vidhya

@AnalyticsVidhya

5 years

Understand the basics of Monte Carlo Learning - #algorithm used when there is no prior information of the environment & all information is essentially collected by experience. We’ll use the #OpenAI Gym toolkit in #Python to implement this method as well.

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Analytics Vidhya

@AnalyticsVidhya

6 years

Time to get introduced to the concepts of #SQL and #RDBMS - take this simplified #guide and get your hands on this language!

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Analytics Vidhya

@AnalyticsVidhya

6 years

How many #regression techniques are you aware of? Let's get to know these 7 types of techniques, here. #Statistics #MachineLearning

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Analytics Vidhya

@AnalyticsVidhya

6 years

These 28 cheat sheets for #MachineLearning , Data science, Probability, SQL & #BigData will check the way you work! Bookmark them for your ready reference. (Author: Swati Kashyap)

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Analytics Vidhya

@AnalyticsVidhya

6 years

Let's take a look at #XGBoost - the holy grail of #machinelearning hackathons. A comprehensive understanding of the algorithm to help you become better at machine learning.

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Analytics Vidhya

@AnalyticsVidhya

6 years

Time to get introduced to the concepts of #SQL and #RDBMS - take this simplified guide and get your hands on this language! #BusinessIntelligence

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Analytics Vidhya

@AnalyticsVidhya

6 years

Ramya Bhaskar has a perfect tutorial for you to explore #XGBoost , from its basics to advanced applications in details and deep dive into the inner workings of this powerful technique. Take a head start here. #machinelearning

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Analytics Vidhya

@AnalyticsVidhya

6 years

Here's an excellent resource with 24 different real time #projects for all #datascience professionals - beginners to advanced to test their skills! Once you complete a few projects, don't forget to showcase them on your resume and your #GitHub profile.

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Analytics Vidhya

@AnalyticsVidhya

5 years

PCA is a method of extracting important variables from a large set of variables available in a data set. A practical guide to learn about #PrincipalComponentAnalysis in most simplified way alongwith its implementation in #Python and #R .

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Analytics Vidhya

@AnalyticsVidhya

6 years

You need to keep practicing on projects to build up skills and boost your knowledge. Start working on these problems/datasets from different domains suitable for beginners, intermediate & advanced professionals. #MachineLearning #Python

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Analytics Vidhya

@AnalyticsVidhya

6 years

Compilation of various #machinelearning algorithms, along with their #R & #Python codes. So, if you are looking to equip yourself to start building machine learning project - this is what you should lay your hands onto!

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Analytics Vidhya

@AnalyticsVidhya

5 years

Dimensionality reduction is a popular #machinelearning topic, but how many techniques are you aware of? This brilliant article covers 12 techniques, with their implementation in #Python , that will make you a master of this subject!

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Analytics Vidhya

@AnalyticsVidhya

5 years

This is one of the best guides to get an understanding about the most commonly used #MachineLearning algorithms. Sunil Ray has even provided codes in #Python and #R for each technique. A must-read!

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Analytics Vidhya

@AnalyticsVidhya

6 years

Let's get started with #Altair - a very user-friendly #visualization library in #Python which actually performs a lot of things with the minimal amount of code - an introduction by Shubham Jain.

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Analytics Vidhya

@AnalyticsVidhya

7 years

Providing you with cheatsheets for Scikit-learn and Caret the most widely used machine library in #Python & R respectively by Kunal Jain. This is going to be a handsome resource for any Python or R practitioner. Download the Pdf files now. #machinelearning

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Analytics Vidhya

@AnalyticsVidhya

6 years

Here is a package which includes all #machinelearning algorithms we use frequently! #MLR is absolutely incredible at performing machine learning tasks. Let's try improving accuracy of a classification problem using machine learning and explore. #R

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Analytics Vidhya

@AnalyticsVidhya

7 years

Starting off with #MachineLearning ? Here's ur ultimate guide! #analytics

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Analytics Vidhya

@AnalyticsVidhya

6 years

Highly recommended e-books (available for free) on #MachineLearning that you must go through, in order to explore the underlying concepts of #statistics , #datascience #machinelearning ! #books

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Analytics Vidhya

@AnalyticsVidhya

4 years

Join this free course on #Scikitlearn >>> and learn: 1. Scikit-learn in Python 2. Use of scikit-learn in Data Science Cycle 3. Use of scikit-learn in Model Building 4. Machine Learning Pipeline using scikit-learn

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Analytics Vidhya

@AnalyticsVidhya

5 years

A useful guide for all beginners in #MachineLearning & #datascience - It lists down the most active data scientist on #github , free books, ipython notebooks, tutorials on github.

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Analytics Vidhya

@AnalyticsVidhya

6 years

Here's a comprehensive article to let you explore concepts of #DeepLearning & Neural networks right from basics. #MachineLearning

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Analytics Vidhya

@AnalyticsVidhya

6 years

#AVBytes A brilliant use case of computer vision in #MachineLearning - a system that uses human pose estimation to identify violent individuals in a crowd! Check out the research paper, video and other details inside. #ComputerVision

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Analytics Vidhya

@AnalyticsVidhya

5 years

Here is the perfect article for you to enhance your #MachineLearning skills! Pranav has listed down 7 ambitious ML GitHub projects from #NLP to #ComputerVision for you to try out. Includes plenty of tutorials and open source code links! #BigData #Python

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Analytics Vidhya

@AnalyticsVidhya

7 years

For all the #DeepLearning beginners out there - here're 6 deep learning applications that you can build in minutes, using #Python . Let's begin.

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Analytics Vidhya

@AnalyticsVidhya

3 years

Data Science Term of the Day!

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Analytics Vidhya

@AnalyticsVidhya

3 years

📢 Get access to the complete FREE Machine Learning Certification Course here: #Python #machinelearning #Course #EDA #Certification #free

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Analytics Vidhya

@AnalyticsVidhya

4 years

When your bias-variance tradeoff isn't achieved 😅

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Analytics Vidhya

@AnalyticsVidhya

7 years

Must watch movies on Data Science/ Machine Learning.

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Analytics Vidhya

@AnalyticsVidhya

7 years

Here're 28 cheat sheets for #MachineLearning , Data science, Probability, SQL & #BigData - pin them and use them for your ready reference! (Author: Swati Kashyap).

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Analytics Vidhya

@AnalyticsVidhya

6 years

Graph theory is a fascinating concept, but how does it work? Explained here is the fundamentals and basic properties of graphs, along with different types of #graphs in this detailed article. There's even an implementation in #python to get you started!

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Analytics Vidhya

@AnalyticsVidhya

7 years

If you are looking at learning web scraping as a Beginner - this is where you should keep your eyes on! Using python's library - "BeautifulSoup" - it proves to be the easiest method - explained by Sunil Ray.

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Analytics Vidhya

@AnalyticsVidhya

3 years

In order to become a complete Data Scientist, it is essential to know #mathematics behind #MachineLearning . This article covers various mathematical aspects you need to know to become a machine learning master, including #linearalgebra , probability & more-

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Analytics Vidhya

@AnalyticsVidhya

7 years

Here's a comprehensive guide to understand and learn hypothesis testing in #Statistics . Let's begin. #Analytics

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Analytics Vidhya

@AnalyticsVidhya

3 years

Let’s determine the outcome of the harvest season, i.e. whether the crop🌾 would be healthy (alive), damaged by pesticides🧴, or damaged by other reasons⛈️, with the help of Machine Learning - #MachineLearning #DataScience

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Analytics Vidhya

@AnalyticsVidhya

6 years

How many regression techniques are you aware of, apart from Logistics & Linear #regression ? Get down to explore 7 most commonly used regression techniques with Sunil Ray and expand your understanding of these techniques, with this guide. #BusinessAnalytics

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Analytics Vidhya

@AnalyticsVidhya

6 years

Let's learn about these 7 #TimeSeries forecasting techniques and compare them by implementing on a dataset, using #Python . #datascience #machinelearning #statistics

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Analytics Vidhya

@AnalyticsVidhya

6 years

For aspiring data scientist or an established one, start working on these projects to build up or polish your #datascience skills. #MachineLearning

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Analytics Vidhya

@AnalyticsVidhya

5 years

How to count number of people in crowd using #DeepLearning and #ComputerVision ? Well, You get the hang of it by end of this tutorial. We will create an #algorithm for crowd counting with an amazing accuracy. Get set go!

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Analytics Vidhya

@AnalyticsVidhya

5 years

Download this very useful #Infographic - it includes a step-by step process of cleaning text data in python using a #twitter case study. #Python

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Analytics Vidhya

@AnalyticsVidhya

6 years

Get started with #PyTorch with four awesome case studies in #Python . In this article, Faizan also compares a neural network built from scratch in both numpy and PyTorch

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Analytics Vidhya

@AnalyticsVidhya

6 years

Did you know Time Series Modelling can make it easier when it comes to serially correlated data like website traffic? Here's a Tutorial to get started right from basics of #TimeSeries Modelling to its related techniques alongwith their R codes.

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Analytics Vidhya

@AnalyticsVidhya

3 years

Multiple Linear Regression using Python and Scikit-learn: #MachineLearning #DataScientists #Algorithms #LinearRegression #Python #Scikit -learn

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Analytics Vidhya

@AnalyticsVidhya

7 years

Cheat sheet with various codes and steps while performing exploratory #dataanalysis in #Python .

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Analytics Vidhya

@AnalyticsVidhya

6 years

Utilise your spare time this weekend, to learn building a FAQ #chatbot , with this comprehensive tutorial. Yogesh explains the complete process, taking example of building GST FAQ Chatbot. #NLP #Python

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Analytics Vidhya

@AnalyticsVidhya

7 years

Data Exploration using powerful libraries in #Python . #datamining

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Analytics Vidhya

@AnalyticsVidhya

7 years

Here're the most active data scientist alongwith best repositories, free books, notebooks on github to help you become better at #machinelearning & data science. @Github

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Analytics Vidhya

@AnalyticsVidhya

4 years

Python is one of the most powerful languages to perform machine learning tasks. Ram Dewani pens down 7 Python hacks, tips and tricks that will help you speed up your code for data science projects. #python #datascience #dataanalytics

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Analytics Vidhya

@AnalyticsVidhya

6 years

Mark these 28 cheat sheets for Machine Learning, Data science, Probability, SQL & Big Data - for your ready reference. #BigData #MachineLearning

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Analytics Vidhya

@AnalyticsVidhya

3 years

Which Python IDE do you prefer for your Data Science tasks? PyCharm Jupyter Notebook VS Code Other (Comment Below)

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Analytics Vidhya

@AnalyticsVidhya

6 years

These are 10 recommended #DataScience , #MachineLearning and #AI #Podcasts that every Data Scientist must listen to, to keep up with new advancements.

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Analytics Vidhya

@AnalyticsVidhya

7 years

Did you know Python provides a lot of libraries for plotting and #datavisualization ? Have a fun time learning this new visualization library in #python where you can do a lot of things with the minimal amount of code. #machinelearning #businessanalytics

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Analytics Vidhya

@AnalyticsVidhya

6 years

Can you classify tweets into positive & negative sentiments? Have you used Recurrent #neuralnetworks (RNNs) to deal with sequences in information. Dishashree Gupta explains the architecture of RNN right from scratch. #MachineLearning #Python

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Analytics Vidhya

@AnalyticsVidhya

5 years

Pandas v1.0 is out! This major release contains lots of new and useful features. Here's Aishwarya Singh picking out the top 4 features and how you can use them in #Python . #DataScience

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Analytics Vidhya

@AnalyticsVidhya

5 years

Want to build your own Siri or Google Assistant? Here's an awesome tutorial by Aravind to learn how to build your own speech-to-text model from scratch in #Python ! #DeepLearning #NLP

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Analytics Vidhya

@AnalyticsVidhya

7 years

Decision trees, random forest, #gradientboosting are popular algorithms used in all kinds of #datascience problems.A must read tutorial for every analyst(freshers also) to learn tree based modeling from scratch.

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Analytics Vidhya

@AnalyticsVidhya

6 years

Decision trees, random forest, #gradientboosting are popular algorithms used in all kinds of #datascience problems. A must read tutorial for every analyst (freshers also) to learn tree based modeling from scratch.

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Analytics Vidhya

@AnalyticsVidhya

5 years

A must-read tutorial by Pulkit Sharma to build your first crowd counting model using #DeepLearning and #ComputerVision !

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Analytics Vidhya

@AnalyticsVidhya

6 years

Here are 5 data science projects to help you get the grip on the basics of tools & techniques and learn while you are working on it! #BigData #BusinessAnalytics #BusinessIntelligence

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Analytics Vidhya

@AnalyticsVidhya

7 years

Here's a tutorial to learn how to implement a #MachineLearning model using Flask framework in #Python . Let's begin.

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Analytics Vidhya

@AnalyticsVidhya

6 years

Let's get started with Altair - a very user-friendly visualization library in #Python which actually performs a lot of things with the minimal amount of code. #dataviz

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Analytics Vidhya

@AnalyticsVidhya

8 years

Here’s a collection of 10 most commonly used #machinelearning algorithms with their codes in #Python and R.

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Analytics Vidhya

@AnalyticsVidhya

5 years

We have explained the most commonly used 7 forms of regressions in a simple manner: #Linear Regression, Logistic #Regression , Polynomial Regression, Stepwise Regression, Ridge Regression, Lasso Regression, ElasticNet Regression. Learn to implement these

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Analytics Vidhya

@AnalyticsVidhya

5 years

A must-read tutorial by Pulkit Sharma to build your first crowd counting model using #DeepLearning and #ComputerVision ! l

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