Yash Kumar Saini's Projects
GitHub repo: Predict admission chances using ML.
Building a Logistic regression model for the prediction of Sales and implementing it in a web app based on Python π
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.
Exploring data's depths with Bharat Intern! ππ Unveiling insights from the dataset, my project is a fusion of creativity and analytics. Stay tuned for more! π
Bank Churn Binary Classification Project | Prediction of the bank churn implementing the Ensemble model building technique.
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.
This was a simple virtual internship where i mainly created machine learning models to perform tasks like Classification & Prediction
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. πβ¨
Public Dataset
Config files for my GitHub profile.
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
πβ¨ Help beginners to contribute to open source projects
The Objective is to combine the Prediction & classification scenarios of Machine Learning algorithms on the morphological Flower dataset
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.
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
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.
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.
Mohs Hardness Prediction Project | Ensemble Models with Neural Networks, LGBM, CAT, XGB using a Voting Mechanism. ππ
Multi-Class Obesity Risk Prediction Project | Prediction of obesity risk in individuals using various factors, which is related to cardiovascular disease.
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.
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.
Data Engineering π οΈ is like the backbone of data processing π, managing data pipelines π, warehouses π’, and lakes π. It's the bridge π between raw data and actionable insights, powering businesses π with efficient data management and analytics π.
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 π
The main objective is to predict the probability of a region flooding based on various factors.
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.
Steel Plate Defect Prediction | Prediction of the probabilities of various defects on steel plates
README conifg files