Rishabh Chaturvedi 's repositories
Coursera_Applied-Data-Science-Capstone
This repo will be mainly used for the Applied Data Science Capstone, which is the icing on the cake of the DataSc Professional certificate by IBM.
TSF-Internship-Task
The Sparks Foundation Internship for Data Science/Analytics.
100DaysOfMLCode
This repository contains all the required resources regarding the 100+ Days Of ML Code Telgram Group which was driven by me from 1-1-2019 to 31-12-2019 !!
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
Boston-Model
Boston Model
Capstone-_Project
Capstone Project
Covid19-data-analysis
Covid-19 data analysis
Face-Detection
Face detection with opencv.....
Face-Detection-
Face detection with opencv...
fraud-detection
This repo contains my fraud detection project to detect fraudulent cases using a dataset of credit card transactions.
intro-html
A robot powered training repository :robot:
Applied_AI_Course_Notes
Applied Artificial intelligence Course from Online course Notes
Data-Engineer-Nanodegree-Projects-Udacity
Projects done in the Data Engineer Nanodegree Program by Udacity.com
data-scientist-roadmap
Toturial coming with "data science roadmap" graphe.
DataScienceResources
Open Source Data Science Resources.
DataStructures-Algorithms
This repo contains links of resources, theory subjects content and DSA questions & their solution for interview preparation from different websites like geeksforgeeks, leetcode, etc.
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
Face-Mask-Detection
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
White-box-Cartoonization
Official TensorFlow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”