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beer-recommendation-system

Building a Collaborative Recommendation System (both Used based & Item based) for a store called "Beer Mart", where customers will be recommended the beers that they are most likely to buy.

budget-optimization-in-ecommerce-using-market-mix-modelling

To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actual impact of various marketing variables over the past and recommend the optimal budget allocation for different marketing levers for the next year. Built several Linear Regression models like Additive, Multiplicative, Koyck & Distributive Lag to identify the important KPIs that influence the company revenue and their contributions towards the revenue. The main data set is available below:

carsmpgpredictionflask

clustering-countries-based-on-socio-economic-status

Clustering Countries based on Socio-Economic Status using K-Means and Hierarchical Clustering process and Dimensionality Reduction with PCA

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

fifa_19_player_analytics

Built several regression models like Linear Regression, Lasso & Ridge Regression, Decision Tree Regression & Random Forest Regression, to predict the overall value of a player. Used Hierarchical Clustering to form clusters of similar players.

geely-auto-car-price-prediction-with-linear-regression

gramener-loan-defaulter-case-study-using-eda

grouping-similar-odi-batsmen-using-k-means-and-heirarchical-clustering

house_price_prediction_with_regularized_regression

Building a regression model using regularization, so as to predict the actual value of the prospective properties with the available independent variables and decide whether to invest in them or not.

imageswithflask

kaggle_digit_recognizer_with_pca_and_logistic_regression

lead-scoring-case-study-using-logistic-regression

Predict if a lead will converted or not and assign lead scores to each of the leads

nyc_parking_case_study-big_data

Analyzing New York Parking Tickets using Spark

plotly-dashboards-with-dash

This is the repo for the Udemy Course Python Dashboards with Plotly's Dash

spark-funds-investment-case-study

telecom_churn_case_study_using_classification_models

Built several classification models like Random Forest, SVM, Decision Trees to predict the telecom churn. Used model selection techniques to finalize on the best model

titanic-machine-learning-from-disaster-using-logistic-regression

uber-supply-demand-gap-analysis-using-eda

zero_to_deep_learning_video

Repository for the Zero to Deep Learning® Video Course