Vikrant Arora's repositories
Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-
A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.
Marketing-Campaign-Analysis
Checking the performance of campaigns on different marketing channels among control & experiment groups
click_through_rate_prediction
Comparative Study Between Mobile Display Advertising Click Through Rate Prediction Methodologies
A-B-Testing-for-Impact-on-Website-Conversions
A/B Testing to Determine Effect of Introducing Free Trial Screener on Conversions
ab-testing
Jupyter notebook templates for running and evaluating website ABn tests.
Customer-Analytics-EDA
EDA of UrbanClap's bookings dataset: Calculation & Visualization of metrics like 1//3/6 months repeat rates, new customer acquisition, bookings by slot and by source
Customer-Analytics_EDA_Bank-Marketing
Exploratory data analysis to get a sense of the bank marketing dataset and see distribution of target variable (subscriptions/conversions) WRT important predictor variables like age-group, education, marital staus etc.
Prophet-Time-Series-Forecast-of-Articles-Posted-on-a-website
Time series forecasting using facebook prophet for blog articles posted on a popular website
Telecom-Churn-Prediction
A classification project for forecasting the customers who are likely to churn. Random forests, XGBoost, SVM's used.
hypothesis-testing-with-python
True difference or noise? 📊
Interview-Tests
A collection of my interview tests, when I was looking for a new role as a Data Scientist
kaggle-web-traffic-time-series-forecasting
Solution to Kaggle - Web Traffic Time Series Forecasting
Marketing-Data-Science
Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).
PowerBI_oildemand_analysis
A PowerBI dashboard created to analyse COVID-19 impact on oil demand
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Relax-Data
Take home interview questions.
Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python