yashksaini-coder

Prodigy-InfoTech

A machine learning engineer leverages programming and statistical expertise to design, implement, and deploy predictive models. They bridge the gap between data science theory and practical applications, solving real-world problems through innovative machine learning solutions.

CodePen

💻This repository contains a collection of fun little web development codes 🌐✨.

CodSoft

This was a simple virtual internship where i mainly created machine learning models to perform tasks like Classification & Prediction

Mohs-hardness-ensemble-prediction

Mohs Hardness Prediction Project | Ensemble Models with Neural Networks, LGBM, CAT, XGB using a Voting Mechanism. 🚀💎

Multivariate-Logistic-Regression---Telecom-Churn

Building a logistic regression model for telecom churn prediction, utilizing 21 customer-related variables to predict whether a customer will switch to another telecom provider or not.

Python-for-Data-Engineering

Data Engineering 🛠️ is like the backbone of data processing 📊, managing data pipelines 🚀, warehouses 🏢, and lakes 🌊. It's the bridge 🌉 between raw data and actionable insights, powering businesses 🚀 with efficient data management and analytics 📈.

Advertising-Sales-Prediction

Building a Logistic regression model for the prediction of Sales and implementing it in a web app based on Python 🐍

Bank-Loan-Default

Objective is to develop a predictive model for a consumer finance company to identify potential loan defaulters. By analyzing historical loan data, & diff. data the factors that influences loan default rate.

MeriSKILL

Data analytics extracts insights from raw data through statistical analysis and visualization. It empowers informed decision-making, guiding strategies and addressing challenges with a data-driven approach.

Multi-Class-Prediction-of-Obesity-Risk

Multi-Class Obesity Risk Prediction Project | Prediction of obesity risk in individuals using various factors, which is related to cardiovascular disease.

Regression-with-an-Abalone-Dataset

Building a Linear regression model to predict the Age of Abalone from various physical measurements and implementing it in a web app based on Python 🐍

Statistics-For-Data-Science

Statistics is a vital foundation for data science and machine learning, offering insights into data behavior through probability, distributions, and key analyses like T Test and Chi-Square.

FloralOracle--Iris-Inference-Hub

The Objective is to combine the Prediction & classification scenarios of Machine Learning algorithms on the morphological Flower dataset

Leetcode

LeetCode is a popular online platform for finding and solving coding problems. It offers a variety of difficulty levels, from beginner to advanced, and covers a wide range of topics, including algorithms, data structures, and more. Users can create accounts to track their progress and earn badges for completing challenges.

Steel-Plate-Multi-Class-Defect-Prediction

Steel Plate Defect Prediction | Prediction of the probabilities of various defects on steel plates

Binary-Classification-Churn-Prediction

Bank Churn Binary Classification Project | Prediction of the bank churn implementing the Ensemble model building technique.

Diabetes-Prediction

A Logistic Regression model to predict the diabetes of an individual. Includes EDA for insights & analysis. The main feature is the Streamlit web application that uses sliders to adjust values for the prediction

Gemini-Bot

Gemini Bot is an interactive conversational agent powered by cutting-edge generative models from Google's GenerativeAI service. Utilizing Streamlit, a Python library for building web applications, Gemini Bot enables users to engage in text-based conversations effortlessly.

Lead-Case-Study-Capstone-Project

A capstone Project to showcase my skills of data analysis, data visualizations and machine learning model implementation to build a logistic regression model to perform prediction

Credit-Card-Fraud-Detection-Project

This project focuses on the detection of credit card fraud using various data science and machine learning techniques. The dataset includes a record of credit card transactions over a specific period, with the goal of accurately identifying fraudulent activities. 🚀✨

EDA-Exploratory-Data-Analysis

Learning-Agency-Lab

The main objective is to train a model that can score the student essays. It can reduce the high expense and time required to hand grade these essays.

Regression-with-Flood-Prediction

The main objective is to predict the probability of a region flooding based on various factors.

yashksaini-coder

My awesome profile README Star it ⭐

Github-Markdown-Beginner-Guide

GitHub Markdown Beginner Guide 📘

github-readme-stats

:zap: Dynamically generated stats for your github readmes

first-contributions

🚀✨ Help beginners to contribute to open source projects

series-intro-to-github-flow-yashksaini-coder

series-intro-to-github-flow-yashksaini-coder

Dharmendeer

Config files for my GitHub profile.

Binary-Classification-of-Insurance-Cross-Selling-

The objective is to predict which customers respond positively to an automobile insurance offer