- Quering the Documents using OpenAI API Django application to query the documents using
OpenAI apiwith user management.
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Wild Blueberry Yield: Exploratory analysis on the yield data of wild blueberries to create predicive model to predict the yields.
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E-commerce Clickstream Data Analysis: Data analysis and visualization using seaborn on E-commerce company's clickstream data using
Mongo DB.
- Seol Bike Sharing Demand Predition: Using different regression techniques to predict the of sharing bikes.
- Store Sales Forecasting: Forecasting the sales of a store using
XGBandLGbmregressor. - Holt and Beyond: Forecasting the Energy Consumption.
- Recommending Movies: Movie recommendation systems with MovieLens dataset using multiple techniques like User/Item Based Collaborative Filtering, Matrix Factorization (SVD) and Content Based Recommendation.
- Gender Classification: Classifying face images as either belonging to Male(1) class or Female(0) class using
Keras.
- Tweet Sentiment Analysis: Analysing the sentiment from the tweets data to classify if a tweet is abbusive or not using different neural networs:
RNN, CNN and LSTM.
- Applied Machine Learning - Beginner to Professional
- Advanced Python Programming and Software Engineering Fundamentals
- Fundamentals of Deep Learning
- Retail Demand Prediction using Machine Learning
- Structured Thinking and Communication for Data Science Professionals
- Recommender Systems with Python
- Time Series Forecasting using Python
- Fundamentals of Structured Query Language
- Google Data Analytics Certificate
- Time Series in Depth: Notebook on how to work with Time Series data. Covering concepts from Simple Moving Average to Prophet and everything in between
(Holt's, ARIMA, SARIMA and Prophet).
- Enefit - Predict Energy Behaviour of Prosumers: Energy demand/production prediction model of prosumers to reduce energy imbalance costs.
- NYC Taxi Trip Duration: Model to predict the trip duration of a taxi based on location and time of the day to handle the demand and supply.