SRIKHANTH R's repositories
Diabetes_Prediction
This repository hosts a Python-based web application for predicting the likelihood of diabetes onset using machine learning algorithms. Explore the dataset, visualize insights, and obtain real-time predictions with an interactive Streamlit interface.
Spam_Email_Detection_Model
Explore the essentials of spam email detection with this Python-based project. This repository covers data preprocessing, exploratory data analysis, and model building using machine learning. The result is a Streamlit web app that enables users to dive into the dataset, visualize crucial patterns, and predict email classifications as spam or ham
Movies_Rating_Prediction_Model
This repository contains python based predicting movie ratings using machine learning. It includes data cleaning, exploratory data analysis, and model building using the Random Forest Regressor. The resulting Streamlit web app allows users to explore the dataset, visualize key patterns, and predict movie ratings
Sales_Prediction_Model
This Python-based project repository focuses on predicting sales, incorporating key steps such as data cleaning, exploratory data analysis, and model development using a robust linear regression approach. Engage with the interactive web app built using Streamlit, enabling users to explore the dataset, visualize patterns, and predict the sales
Iris_Flower_Classification_Model
This Iris repository covers data cleaning, exploratory data analysis, and model construction employing Logistic Regression. The accompanying Streamlit web app invites users to delve into the Iris dataset, visualize essential patterns, and predict flower species based on features like sepal length, sepal width, petal length, and petal width.
Credit_Card_Fraud_Detection
This repository delves into predicting credit card fraud using machine learning techniques. It encompasses data cleaning,exploratory data analysis, and model training with Random Forest Classification. The interactive Streamlit web app enables users to navigate the dataset, visualize essential patterns, and predict the fraud transaction
Titanic_Survival_Prediction_Model
This repository comprises a Python-based web app predicting Titanic passenger survival using machine learning. It involves data cleaning, exploratory data analysis, and model development using a trained machine learning model. The Streamlit web app enables users to explore the Titanic dataset, visualize insights, and predict passenger survival
Data_Analysis_Projects
Python-driven data analysis projects unraveling insights from diverse datasets. Join me in exploring data-driven narratives and turning information into meaningful stories. 📊🐍📈
CODSOFT
This repository showcases the outcomes of my data science internship at Codsoft. It contains hands-on projects exploring analysis, modeling, and visualization across different domains. From predictive models to exploring real-world data, these projects highlight my practical experience. Thanks to Codsoft for fostering my growth in data science
CBTCIP
This repository reflects my data science internship at CipherByte Technologies, featuring hands-on projects in analysis, modeling, and visualization across diverse domains. These projects demonstrate practical skills acquired during my internship, and I'm grateful to CipherByte for nurturing my data science journey