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100-days-of-ml-code

100 Days of ML Coding

1806

18.06 course at MIT

30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

all-of-statistics

Self-study on Larry Wasserman's "All of Statistics"

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

cnn-model-for-skin-cancer-detection

Problem statement: To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution which can evaluate images and alert the dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.

coursera-guided-projects-2021

Coursera Guided Projects 2021

credit-eda-case-study

This case study aims to identify patterns which indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc. This will ensure that the consumers capable of repaying the loan are not rejected. Identification of such applicants using EDA is the aim of this case study.

cs-video-courses

List of Computer Science courses with video lectures.

data-science-2

Collection of useful data science topics along with code and articles

data-science-best-resources

Carefully curated resource links for data science in one place

data_science_masters_program_2021

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

dlfs_code

Code for the book Deep Learning From Scratch, from O'Reilly September 2019

feature-engineering-tutorials

Data Science Feature Engineering and Selection Tutorials

forecasting-of-renewable-energy-generation-and-consumption-in-india-using-deep-learning-methods

This study developed deep learning models for forecasting short term and long-term renewable energy generation and consumption in India using historical yearly data of renewable energy generation and consumption from the statistical data published by British Petroleum.

gesture-recognition-using-cnn-rnn-bidirectional-gru-architecture

Imagine you are working as a data scientist at a home electronics company which manufactures state of the art smart televisions. You want to develop a cool feature in the smart-TV that can recognise five different gestures performed by the user which will help users control the TV without using a remote.

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

house-price-prediction

To model the price of houses with the available independent variables. This model will then be used by the management to understand how exactly the prices vary with the variables. They can accordingly manipulate the strategy of the firm and concentrate on areas that will yield high returns. Further, the model will be a good way for management to understand the pricing dynamics of a new market.

lead-scoring-case-study

To Build a logistic regression model to assign a lead score between 0 and 100 to each of the leads which can be used by the company to target potential leads.

linux

Linux kernel source tree

machine-learning-collection

:closed_book:machine learning tech collections at Microsoft and subsidiaries.

machine-learning-deep-learning

This repository has all my projects on Oil and Gas (and Non Oil & Gas) Machine Learning Topics

machine-learning-oil-gas-industry

Source Code for 'Machine Learning in the Oil and Gas Industry' by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, and Luigi Saputelli

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources