PhoenixBanerjee

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

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.

PhoenixBanerjee/cs-video-courses

List of Computer Science courses with video lectures.

PhoenixBanerjee/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.

PhoenixBanerjee/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.

PhoenixBanerjee/all-of-statistics

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

PhoenixBanerjee/Andrew-NG-Notes

This is Andrew NG Coursera Handwritten Notes.

PhoenixBanerjee/best-of-ml-python

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

PhoenixBanerjee/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.

PhoenixBanerjee/Coursera-Guided-Projects-2021

Coursera Guided Projects 2021

PhoenixBanerjee/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.

PhoenixBanerjee/Data_Science_Masters_Program_2021

PhoenixBanerjee/deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

PhoenixBanerjee/deep-learning-v2-pytorch

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

PhoenixBanerjee/deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

PhoenixBanerjee/feature-engineering-tutorials

Data Science Feature Engineering and Selection Tutorials

PhoenixBanerjee/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.

PhoenixBanerjee/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.

PhoenixBanerjee/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.

PhoenixBanerjee/linux

Linux kernel source tree

PhoenixBanerjee/machine-learning-collection

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

PhoenixBanerjee/Machine-Learning-Deep-Learning

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

PhoenixBanerjee/Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

PhoenixBanerjee/Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

PhoenixBanerjee/Mentoring_Enablement

Data Science / AI / ML / DL for Mentees: Focus on methodology, techniques, use cases

PhoenixBanerjee/MLOps-Basics

PhoenixBanerjee/Oil-and-Gas-data-analysis

PhoenixBanerjee/Papers-Literature-ML-DL-RL-AI

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

PhoenixBanerjee/PhoenixBanerjee

Config files for my GitHub profile.

PhoenixBanerjee/Prediction-of-Bike-Rental

Understanding the factors affecting the demand for the shared bikes in the American market.

PhoenixBanerjee/Telecom-Churn-Case-Study

In this project, we will analyse customer-level data of a leading telecom firm, building predictive models to identify customers at high risk of churn and identify the main indicators of churn.

PhoenixBanerjee/Treasure-of-Transformers

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️