manoj-nain Goto Github PK
Name: Manoj Nain
Type: User
Company: KPIT Technologies
Bio: Aspiring Data Scientist, learning DS and ML currently. Working as Automobile engineer. Looking for opportunities in DS.
Location: Bangalore
Name: Manoj Nain
Type: User
Company: KPIT Technologies
Bio: Aspiring Data Scientist, learning DS and ML currently. Working as Automobile engineer. Looking for opportunities in DS.
Location: Bangalore
Codvector AIChamp Screening tasks
Weekly Tasks for AIChamp
A simple web scraper to extract Product Data and Pricing from Amazon
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
Predicting hotel cancellations with machine learning
Compilation of R and Python programming codes
IndNatBank is a peer to peer loan financial company who provides loan to its potential customers all over the India. They make profit based on the risk they issues loans to the borrowers. Based on the previous data they want to analyze the risk of issuing loans to the new customers which at the same time also helps to improve the personalization user experience while applying for loans. They have experienced employees who uses the complex rules to provide services to their customers. But as the size of data will increase their traditional ways of assessing risk might not be good for the company. They wants to automate their process by which machine learns the pattern out of their data for better customer experience. Now the question is how this problem could be solved using Machine Learning? While there are many ways to assess the credit loan risk and its depiction. We will be working with a simple scenario to solve this problem.
Exploratory data analysis on MacDonald's Dataset
In this project we will do EDA on historical data of a Finance Factoring company and build ML Models to predict the duration of any invoice getting paid.
In this project we will do analysis on transactions of a payment company to detect the fraud using ML models. Let's say a company named as IPAYU has been providing it's financial services to the variety of users in a country. But at the same time there are loopholes in security measures (in the meanwhile company is upgrading it's security). Fraudster might try to crack inside the company's interface and can commit fraudulent transactions. It may harm people trust towards the company. To tackle this situation of crisis, they have consulted a team of data scientists. Now the question is how this problem could be solved using data science? While there are many ways to prevent the fraud and loss occur. Let's walk through a simple pave how this team handled problem of fraudulent transaction to identify and automated model for future transactions.
Gesture controlled Hill Climb Racing game using OpenCV, Python
Scrape reviews from Glassdoor
Turn (almost) any Python command line program into a full GUI application with one line
sample repository
In this project we will do EDA on Home Mortgage Disclosure Act (HMDA) dataset to analyze and predict the mortgage decision and create Machine Learning models to predict the same for future.
Deep neural network to extract intelligent information from PDF invoice documents.
A proof-of-concept jupyter extension which converts english queries into relevant python code
This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel
Analysis of Google Play store and IOS App store Data sets
Computer vision using OpenCV and Python
Bokeh Plotting Backend for Pandas and GeoPandas
pdf2audiobook
a class that uses scraped proxies to make http GET/POST requests (Python requests)
The Python Code Tutorials
Python quantitative trading strategies including Pattern Recognition, CTA, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
OpenCV and Deep Learning Reference Notebooks
In this project we will do analysis of consumer complaints and find out how companies follows the regulatory norms. We will categorize the complaints according to product type and analyse which industry faces most issues in compliance. Then we will make ML model to categorize future data.
EDA on Retail data and Creating ML models for profit prediction on each product
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.