Tejas Rajput
tejasOnGit
👋 Tejas Rajput | CS Engineer & Data Analyst 🚀 Passionate about tech, coding, and data analytics. Expert-Python, SQL. 💻 Master's in Data Science. Love2Code
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Top Repositories
Analyzes job advertisement data from JSON files, offering insights through data visualization, text analysis, and geographical mapping. Includes tools for exploring job trends, salary distributions, and more
This project predicts which individuals will respond to charitable donation requests using a Random Forest model. The dataset includes donation history and demographics from a real marketing campaign. By exploring the data, building a predictive model, and evaluating its performance, the project offers insights to enhance future campaigns.
This repository explores the analysis and prediction of financial time series data using various machine learning and deep learning techniques. The project focuses on understanding historical index data, extracting meaningful features, and applying regression models and deep learning architectures for forecasting
Computer Vision Techniques Unlock the potential of computer vision with my repository. From fundamental algorithms to advanced techniques, explore implementations using OpenCV, TensorFlow, and PyTorch for seamless integration and learning.
Harness the power of Evolutionary Algorithms to optimize bin packing. Experiment with crossover strategies, mutation techniques, and population sizes to achieve efficient item allocation in bins.
Python-based chatbot for bakery shops, integrating NLP to assist customers with product browsing, order placement, and recommendations. Automates interactions for a seamless user experience. 🔹 Tech: Python, NLP 🔹 Features: Conversational AI, order automation
Repositories
7Python-based chatbot for bakery shops, integrating NLP to assist customers with product browsing, order placement, and recommendations. Automates interactions for a seamless user experience. 🔹 Tech: Python, NLP 🔹 Features: Conversational AI, order automation
Analyzes job advertisement data from JSON files, offering insights through data visualization, text analysis, and geographical mapping. Includes tools for exploring job trends, salary distributions, and more
Tutorial Purpose
This project predicts which individuals will respond to charitable donation requests using a Random Forest model. The dataset includes donation history and demographics from a real marketing campaign. By exploring the data, building a predictive model, and evaluating its performance, the project offers insights to enhance future campaigns.
This repository explores the analysis and prediction of financial time series data using various machine learning and deep learning techniques. The project focuses on understanding historical index data, extracting meaningful features, and applying regression models and deep learning architectures for forecasting
Computer Vision Techniques Unlock the potential of computer vision with my repository. From fundamental algorithms to advanced techniques, explore implementations using OpenCV, TensorFlow, and PyTorch for seamless integration and learning.
Harness the power of Evolutionary Algorithms to optimize bin packing. Experiment with crossover strategies, mutation techniques, and population sizes to achieve efficient item allocation in bins.