yashksaini-coder

Admission-Chances-Machine-Learning-Project

GitHub repo: Predict admission chances using ML.

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.

Bharat-Intern

Exploring data's depths with Bharat Intern! 🌐🚀 Unveiling insights from the dataset, my project is a fusion of creativity and analytics. Stay tuned for more! 📊

Binary-Classification-Churn-Prediction

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

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.

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.

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 📈.

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.

yashksaini-coder/CodSoft

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

yashksaini-coder/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.

yashksaini-coder/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 📈.

yashksaini-coder/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.

yashksaini-coder/Mohs-hardness-ensemble-prediction

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

yashksaini-coder/Advertising-Sales-Prediction

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

yashksaini-coder/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.

yashksaini-coder/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.

yashksaini-coder/Admission-Chances-Machine-Learning-Project

GitHub repo: Predict admission chances using ML.

yashksaini-coder/Bharat-Intern

Exploring data's depths with Bharat Intern! 🌐🚀 Unveiling insights from the dataset, my project is a fusion of creativity and analytics. Stay tuned for more! 📊

yashksaini-coder/Binary-Classification-Churn-Prediction

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

yashksaini-coder/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

yashksaini-coder/FloralOracle--Iris-Inference-Hub

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

yashksaini-coder/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

yashksaini-coder/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 🐍

yashksaini-coder/yashksaini-coder

My awesome profile README Star it ⭐

yashksaini-coder/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. 🚀✨

yashksaini-coder/EDA-Exploratory-Data-Analysis

yashksaini-coder/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.

yashksaini-coder/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.

yashksaini-coder/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.

yashksaini-coder/Regression-with-Flood-Prediction

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

yashksaini-coder/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.

yashksaini-coder/Steel-Plate-Multi-Class-Defect-Prediction

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

yashksaini-coder/github-readme-stats

:zap: Dynamically generated stats for your github readmes

yashksaini-coder/C_coding

C++ is a versatile and powerful programming language widely used in software development, game development, system programming, and much more. Known for its combination of high-level abstractions and low-level control, C++ is a language of choice for those who want to create efficient, performance-driven applications.

yashksaini-coder/Dataset

Public Dataset

yashksaini-coder/first-contributions

🚀✨ Help beginners to contribute to open source projects

yashksaini-coder/Dharmendeer

Config files for my GitHub profile.