Sumit Watkar's Projects
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
To create an AI-powered resume matching tool that uses Gemini AI to evaluate resumes against job descriptions for enhanced compatibility and efficiency.
A curated list of awesome Machine Learning frameworks, libraries and software.
The primary goal of this project is to identify patterns that indicate if a person is unlikely to repay a loan (i.e., labeled as a bad risk) and to implement machine learning algorithms to build predictive models for loan risk assessment.
The goal is to understand customer behavior by segmenting them based on their purchase history using RFM analysis.
Portfolio for the all the data science projects
Code repository for the online course Feature Engineering for Machine Learning
Code repository for the online course Feature Selection for Machine Learning
The objective of this project is to develop and deploy machine learning models for predicting flight ticket prices using Amazon SageMaker.
Code repository for the online course Hyperparameter Optimization for Machine Learning
The objective of this project is to develop and deploy machine learning models for predicting flight ticket prices using MLOPS practices.
Code repository for the online course Machine Learning with Imbalanced Data
:robot::zap: 50 scikit-learn tips
The objective of this project is to enable users to easily convert written text into high-quality, natural-sounding audio output.