Mohit Agrawal's starred repositories
Credit-Card-Default-Prediction
This is a Machine Learning Classification project which aims to find the defaulters on credit card.
fuzzywuzzy
Fuzzy String Matching in Python
datasciencecoursera
Files of tasks of Coursera
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
Stock_Price_Prediction
This is a Machine Learning Project . -To predict the future stock price of any company. -To predict the profit and loss which it gained in a year and predict the future price of the stock.
Machine-Learning-Projects
This will contains all the machine learning projects both of "Classification" and "Regression"
AI-Dance-based-on-Human-Pose-Estimation
Human Pose Estimation using Deep Learning.
transliteration-keyboard
Transliteration Keyboard built on Flask
handwritten_digits_recog
recognizing the handwritten digits
first-contributions
🚀✨ Help beginners to contribute to open source projects
Employee_TurnOver_Prediction
A Company uses this predictive analysis to measure how many employees they will need if the potential employees will leave their organization. A company also uses this predictive analysis to make the workplace better for employees by understanding the core reasons for the high turnover ratio.
IIT-Guawati-DataScience
This is a repository for the assignments and projects of Data Science Course by IIT Guawati.
Bike-Share-Demand
This is a predictive analysis of the bikes/ cycles share on various time and daytime.
COVID-19-Report
This is a report of COVID-19 confirmed, death and cured in states and India (Jan 2020 - Aug 2020 )
Guided_Projects_Coursera
This repository contains guided projects completed on coursera.
ML_Projects
This repository contains machine learning projects.
Udacity-programming-for-Data-Science-usi-ng-Python-Nanodegree
This is a repository of Udacity-programming-for-Data-Science-usi ng-Python-Nanodegree.
Credit_Card_Fraud_Detection
This is a classification problem to detect or classify the fraud with label 0 or 1. Class with label 1 means fraud is detected otherwise 0. The biggest challenge is to handle the imbalanced data set.
Credit_Card_Fraud
This is a classification problem to detect or classify the fraud with label 0 or 1. Class with label 1 means fraud is detected otherwise 0. The biggest challenge is to handle the imbalanced data set.