A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

🏅 Collection of Kaggle Solutions and Ideas 🏅

Machine Learning algorithm implementations from scratch.

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Te…

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

Understand why employees leave a company and apply various machine learning models to predict the next leaver!

Here are some free tutorials to learn Python in Data Science

Create a machine learning model that will suggest prices for certain items

Dump for all notebook experiments

Different approaches for sentiment analysis

A bot which uses WordNet to parse and match results from Wikipedia to answer questions.

A blog introducing some basics, and some less talked about ideas in statistics. To request an article on a topic, create an issue on this repo!

Basic Python

Build a bot that speaks like you!

Used vehicle collision data from NYC Open Data to analyse various factors for collisions, identifying the vehicle type involved in the crashes and using weather dataset to identify how snowfall and…

Modeled sample movie database(IMDB) using Toad Data Modeler, implemented various queries, triggers and stored procedure in MS-SQL, Oracle, Hive and generated Tableau reports for the same

Analysis using Natural Language Toolkit(NLTK), Numpy, Pandas and Matplotlib

Predict movie's IMDB rating

Built different models to predict the risk for Prudential Life Insurance to its possible applicants based on their medical history

A collection of machine learning examples and tutorials.

VIP cheatsheets for Stanford's CS 229 Machine Learning

Python code for classification of documents into different classes using machine learning

Predicting the IMDB scores of movies based on various meta-data available for analysis

Built different models to predict the risk for Prudential Life Insurance to its possible applicants based on their medical history

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Coursera Courses and practice in Python

Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms

Projects and awesome list for all Data Science fields

Recommender System awesome list of theories and projects

Projects and useful articles / links