Data 's starred repositories
Big-Data-Installation
The Complete Big Data Installation Solutions
pytorch-retinanet
RetinaNet in PyTorch
iNeuron-Internship---Heart-Disease-Diagnostic-Analysis
As a part of my internship with iNeuron.ai, I worked independently on an end-to-end project "Heart Disease Diagnostic Analysis".
Ineuron-DataScience
This repository consists of the learning from fast track, live sessions, assignments, internship and the projects of the Ineuron Full Stack Data Science.
ineuron_Assignments
Assignments of Machine Learning Course by Ineuron.ai
Quick-Notes-for-ML-DS
It contains interview preparation notes provided by iNeuron, important links, MLOps resources
getting-started
Getting started with Docker
ineuron.ai
projects done at ineuron.ai
Data-Science-Interview-Question-Bank-Day1-Day30-iNeuron
Data Science interview question by iNeuron
Amzon-Product-Recommendation
Building Recommendation Model for the electronics products of Amazon
fuel-consumption-end-to-end-ml
End to End Machine Learning Project on Fuel Consumption Prediction of 70s and 80s vehicles.
Crop-Yield-Prediction-using-ML
A simple Web application developed in order to provide the farmers/users an approximation on how much amount of crop yield will be produced depending upon the given input
machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Object-Detection-and-Tracking
Object Detection and Multi-Object Tracking
hatespeech-detection-dl
hate speech detection using weakly supervised methods.
RPA-Python
Python package for doing RPA
mediapipe-detection
This is a repository which contains different implementations of mediapipe library in python.
MLWithPytorch
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
Rain-Prediction
A project on predicting whether it will rain tomorrow or not
OpenCV-Python-Tutorials-and-Projects
An easy to follow course of OpenCV using Python for beginners.
Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning
This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model. We will be implementing and comparing both a Naïve Bayes and a Deep Learning LSTM model.
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
Sentiment_Analysis
This was a sentiment analysis of amazon mobile review. I used web scraping, NLP and Machine Learning in this project.