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Credit-Risk-Modeling-in-Python
Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.Air-quality-index-prediction-using-LSTM
I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series analysisCustomer-Analytics-in-Python
I use various Data Science and machine learning techniques to analyze customer data using STP framework. I preprocessed the data, performed segmentation, hierarchical clustering, k-means, PCA techniques with a lot of visualizations to segment and understand customer data. I have performed Purchase Analytics (both descriptive analysis and predictive analysis). Used deep learning to enhance my model.Trading-Bot
Built a trading bot via Reinforcement Learning using Open-AI Gym and Gym Anytrading environment. Added custom indicators such as Simple Moving Average (SMA), Relative Strength Index (RSI) and On Balance Volume (OBV)Web-scraping-and-API-in-Python
Scraped rotten tomatoes. Built a currency converter using exchangeratesapi.io. Used Github API, iTunes API and EDAMAM API for cool and fun stuffTweet-Sentiment-Analyzer-using-CNN
Visualization-Techniques-for-Data-Science-Machine-Learning
Learn to visualize data and perform animations of data in the best way! Understand different techniques and concepts behind these tools.Movie-recommendation-system
Introduction-to-Data-Science
Get Started with Data Science. Understand how to apply different Data Science methods to solve real-world problems.Machine-Learning-in-Python
Learn from scratch about machine learning algorithms with practical examples!Love Open Source and this site? Check out how you can help us