This analysis focuses on the cleaning, and data visualization of the key insights from the loan data. Performed exploratory data analysis in Python

Skills used : Python, Data Visualization using matplotlib and seaborn, Pandas in Python, SQL

From the analysis link below, open the .pynb notebook

• ANALYSIS LINK

This analysis focuses on the cleaning, and data visualization of the key insights from Airbnb data. Performed exploratory data analysis in Python

Skills used : Python, Data Visualization using matplotlib and seaborn, Pandas in Python

From the analysis link below, open the .pynb notebook

• ANALYSIS LINK

Implemented K-Nearest Neighbors ML algorithm from scratch using python code (no libraries), this helps to understand the basics of a concept rather than just using them on problems

Skills used : Python, Machine Learning

From the Implementation link below, open the KNN.pynb notebook

• Implementation Link

Implemented linear regression supervised ML algorithm from scratch using python code (no libraries), this helps to understand the basics of a concept rather than just using them on problems

Skills used : Python, Machine Learning

From the Implementation link below, open the linear regression_scratch.pynb notebook

• Implementation Link

Implemented a ML model in python which predicts the flight delays

Skills used : Python, Machine Learning, Statistical Modelling, Data Cleaning and Data Visualization

From the analysis link below, open the FlightDelay.pynb notebook

• Analysis Link

Implemented a ML model in python which predicts the house prices in a Washington city

Skills used : Python, Machine Learning, Statistical Modelling, Data Cleaning and Data Visualization

From the analysis link below, open the House_price_prediction.pynb notebook

• Analysis Link