Ravi Kumar M
raviatkumar
Hi, I'm Ravi Kumar. I'm a CS engineering graduate who loves learning new things, making connections with, and exchanging ideas with like-minded people.
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Top Repositories
Bike sharing demand prediction: A regression model that forecasts the hourly demand for bikes using techniques like Random Forest and XGBoost.
Based on a user's preferred movie or TV show, Unsupervised Machine Learning-Netflix Recommender suggests Netflix movies and TV shows. These suggestions are based on a K-Means Clustering model. These algorithms base their recommendations on details about movies and tv shows, such as their genres and description.
Maths Tutorials for Data Science
Language Translator using Googletrans
Superstore_Sales_Dashboard
This project focuses on predicting restaurant ratings using features from the Zomato dataset. The workflow involved several key machine learning processes, including Data Exploration, Data Cleaning, Feature Engineering, and Model Building.
Repositories
50Smart Home Device
Melanoma Skin Cancer
Maths Tutorials for Data Science
Language Translator using Googletrans
Market Segmentation in Insurance
Speech To Text Conversion
Web Development tutorials step by step
Vegetable Image Classification Using CNN
Superstore_Sales_Dashboard
This project focuses on predicting restaurant ratings using features from the Zomato dataset. The workflow involved several key machine learning processes, including Data Exploration, Data Cleaning, Feature Engineering, and Model Building.
Video Summarization
Resume Screening
Convert Audio to Text
Convert Text to Audio
AI Image Generation
Bike sharing demand prediction: A regression model that forecasts the hourly demand for bikes using techniques like Random Forest and XGBoost.
Transform Rossmann store sales forecasting with our cutting-edge XGBoost model, utilizing advanced data analysis, feature engineering, and machine learning techniques to accurately predict sales for a period of up to six weeks in advance.
Goodreads Book
No description provided.
Sentiment Analysis
Based on a user's preferred movie or TV show, Unsupervised Machine Learning-Netflix Recommender suggests Netflix movies and TV shows. These suggestions are based on a K-Means Clustering model. These algorithms base their recommendations on details about movies and tv shows, such as their genres and description.
Maternal Health Risk Model
Precision agriculture is revolutionizing the way farming is conducted by leveraging data-driven techniques to enhance decision-making and optimize agricultural practices. In the modern era, where food security and sustainable farming practices are paramount, it is crucial to utilize advanced technologies to guide farmers in their cultivation choice
No description provided.
Towards-Data-Science-Articles-Approach
No description provided.
Comprehensive Analysis of Document Content Using NLP Techniques
Health Care Chat Bot
Object Detection and Cropping in Video
Fraud Transaction Detection