Mohammed Kashif's repositories
Extreme-Learning-Machine-Based-Recommendation-System
Applied Extreme Learning Machine (ELM) to the domain of Collaborative Filtering.
Finding-Donors-for-CharityML
Applied ML algorithms on Income Data to find potential donors for charity
tf-idf-implementation
Basic tf-idf implementation in Python
Enrol-POI-Classification
Applied ML algorithms on Enron Dataset to predict Person of Interest (POI)
Exploring-Wine-Dataset
Exploratory Data Analysis over the White Wine Dataset
Stock-Predictor
Stock prediction using Machine Learning using the S&P500 Index
Train-a-Smart-Cab-to-Drive
Applied Reinforcement Learning to teach a self-driving agent to reach it's destination
Creating-Customer-Segments
Applied Unsupervised Learning on Spending data to create customer segments
D3js-visualization-of-video-games
Sales Dashboard of Video Game Sales over the past decade
deep_qa
Using deep learning to answer Aristo's science questions
eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
fromscratchtoml
The machine learning library you really understand.
jenkins_test
Testing Jenkins Setup
Matrix-Factorization-DFC
Divide and Conquer Approach to Matrix Factorization for Collaborative Filtering
modin
Modin: Speed up your Pandas workflows by changing a single line of code
networkx
Official NetworkX source code repository.
numpy
Numpy main repository
OpenLearning4DeepRecsys
Some deep learning based recsys for open learning.
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Predicting-Boston-Housing-Prices
Predictin Boston Housing Prices using Regression
PyCon-Graph-Analysis
Repository containing code for PyCon talk
Surprise
A Python scikit for building and analyzing recommender systems
TwitterNewsAnalyserBot
Creation of a Twitter Bot which analyses and compares the similar kind of news and plots the polarity and subjectivity of the news channel on trending topic. A sample plot is shown at the end of the file. So the next update or task would be adding new news channels and comparing their similar news.