mangeshingle

algorithm-whiteboard-resources

this is where we share notebooks/projects used in your youtube channel

Amazon-Fashion-Discovery-Engine

A content based recommendation system to recommend similar clothing based on data from amazon.com

GetCards

Notebook to download machine learning flashcards

Human-Activity-Recognition-Problem

Applying RNN with multiple LSTM layers on a dataset which contains data collected by accelerometer and gyroscope sensors of mobile phone in order to classify the human activity into six different classes . Six different classes are - walking , sitting , standing , laying , walking upstairs and walking downstairs .

K-Means-Clustering-Hierarchical-Clustering-and-DBSCAN-on-Amazon-Fine-Food-Reviews-Dataset

Here we will use all clustering techniques (unsupervised learning) on Amazon Fine Food reviews Dataset to group together all the similar reviews in a same cluster . Here we will apply k-means , k-means++ , k-medoids , Density-based spatial clustering of applications with noise (DBSCAN) and hierarchical clustering techniques on Amazon Food dataset to cluster reviews semantically

Netflix-Movie-Recommendation-System

Predict the rating that a user would give to a movie that he has not yet rated. Minimize the difference between predicted and actual rating (RMSE and MAPE)

nlp-recipes

Natural Language Processing Best Practices & Examples

Personalized-Cancer-Diagnosis

Applying various machine learning classification techniques on a dataset which contains around 3.3K datapoints of Gene ( Gene causing cancer ), Variations ( Variations in the architecture of amino acids or variations in protein-protein interactions ) and TEXT ( Medical Literature which will help in classifying the type of cancer) . Here our task is to classify the given datapoint consisting information of Gene and Variation into one of the 9 cancer classes mentioned in the dataset using medical literature

Quora-Question-Pair-Similarity-Problem

Identify which questions asked on Quora are duplicates of questions that have already been asked

Self-Driving-Car

Applying CNN on a dataset which contains around 45K images and steering wheel angle for all these images .

mangeshingle/nlp-recipes

Natural Language Processing Best Practices & Examples

mangeshingle/algorithm-whiteboard-resources

this is where we share notebooks/projects used in your youtube channel

mangeshingle/AAIC

Applied AI Course Assingment and Notes

mangeshingle/all-case-studies-py

This repository is for all case studies that I have done so far

mangeshingle/Applied-Interview-Preparation

mangeshingle/applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

mangeshingle/appliedaicourse_notes

Applied AI(https://www.appliedaicourse.com/course/11/Applied-Machine-learning-course) Notes Prepared by Rohit Sawant.

mangeshingle/Basic-Mathematics-for-Machine-Learning

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

mangeshingle/coding-interview-university

A complete computer science study plan to become a software engineer.

mangeshingle/COMS4995-s20

COMS W4995 Applied Machine Learning - Spring 20

mangeshingle/d2l-pytorch

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

mangeshingle/HR_Bot

Simple HR bot built using Rasa

mangeshingle/interview-help

mangeshingle/kaggle-understanding-clouds

Code for 1st place solution in Understanding Clouds from Satellite Images Challenge.

mangeshingle/Lessons-Learned-Data-Science-Interviews

Lessons learned the hard way through over 30+ data science interviews

mangeshingle/linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2023 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

mangeshingle/ML-foundations

Machine Learning Foundations: Algebra, Calc, Stats & CS

mangeshingle/ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mangeshingle/ml-template

Basic template to start with.

mangeshingle/mlm-1-Linear-Algebra-for-Machine-Learning

https://machinelearningmastery.com/products/#bundles

mangeshingle/MonoplyGame

A Java implementation of the Monopoly Game practicing Object Oriented Design concepts and Test Driven Development

mangeshingle/PadhAI-Course

Repository containing the colab-notebooks of the course i did on deep learning from One-Fourth-Labs

mangeshingle/PythonMultiprocessingPoolJumpStart

Python Multiprocessing Pool Jump-Start

mangeshingle/rag-from-scratch

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

mangeshingle/rasa-demo

:tiger: Sara - the Rasa Demo Bot: An example of a contextual AI assistant built with the open source Rasa Stack

mangeshingle/RasaCustomerService

This is a conversational bot that can be used in the telecom sector for automating the voice bot process with the help of this Rasa Chatbot.

mangeshingle/Restaurant-Search-Bot

Restaurants Search Bot using Rasa Framework & Zomato API

mangeshingle/TeachingDataScience

Course notes for Data Science related topics, prepared in LaTeX

mangeshingle/TimeSeriesAnalysisWithPython

mangeshingle/wqu-ml

https://wqu.org/programs/data-science