RandomSearch CV vs Grid Search

We will discuss the Hyper Parameter Tuning for different Machine Learning Algorithm

Hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned. Hyperparameters are crucial as they control the overall…

Algorithms used to confirm whether a celestial body is a planet or not.

List of completed academic projects

This project explores the working of various Boosting algorithms and analyzes the results across different algorithms. Algorithms Used are: Random Forest, Ada Boost, Gradient Boost and XG Boost

A simple random forest model to predict car prices. The purpose of this repo was to showcase the use of flask for deployment.

Advanced ML Case Study where we use ML algorithms to detect malware from a given piece of software.

The business objective was to predict the present the price of the car Year,based on features such as selling price, present price, kilometers driven, fuel type, seller type, transmission, owner.

This is an End-to-End Data Science Project built in order to help an International E-commerce Company to predict whether their product will be delivered on the committed Delivery Time or not

Enhancing The Performance Of Classifiers In Detecting Abnormalities In Medical Data Using Nature Inspired Optimization Techniques

Use of Gradient Boosting Descision Trees for a Classification Problem

Exploratory data analysis and machine learning classification models to predict employee attrition.

Implementation of Hyper-parameter tuning of ML models

GridSearchCV, RandomSearchCV For Model optimization and Saving/Loading the model

Machine Learning with Sklearn

Building a plagiarism detector that examines a text file and performs binary classification labeling that file as either plagiarized or not, depending on how similar that text file is to a provided source text.

This repository has the implementation of hyperparameter tuning techniques (GridSearchCV and RandomSearchCV) on K-Nearest Neighbour (KNN) algorithm, from scratch.

Classification model to predict the probability that a customer defaults based on their monthly customer statements using the data provided by American Express.

End to End Machine Learning Projects Examples