uttej2001
Aspiring Data Scientist skilled in Python and Machine Learning, driven by innovation. Eager to contribute to cutting-edge projects. Ready to grow and excel.
Erlangen, Germany
Pinned Repositories
Anomaly-Logs-Detection
There are many studies done to detect anomalies based on logs. Current approaches are mainly divided into three categories: supervised learning methods, unsupervised learning methods, and deep learning methods. Many supervised learning methods are used for log-based anomaly detection.
Bitcoin-Price-Prediction
This is built to encourage new bitcoin investors to buy profitably at the proper moment.
COMPARING-VARIOUS-CPU-SCHEDULING-ALGORITHMS-WITH-HYBRID-ALGORITHM
As a Hybrid Algorithm, it combines the characteristics of both SJF and Priority Algorithms.
dsss_homework_2
Fake-News-Analysis-using-NLP
To put a halt to the distribution of incorrect information from any online news outlet. Build an NLP Classifier that can identify news as Real or Fake.
Image-based-Human-Fall-Detection
Here I integrated the YOLOv5 object detection algorithm with my own created dataset which consists of human activity images to achieve low cost, high accuracy, and real-time computing requirements
Multiclass-Text-Sentiment-Analysis
Created a user-friendly interface for entering product reviews, which will be analyzed and printed with the sentiment of the review text and sentiment labels of each word in the text.
Price-Negotiator-Chatbot-System
AI Chatbot developed through Rasa. Rasa is helpful in understanding messages, holding conversations, and connecting to messaging channels and APIs.
S-P500-Price-Level-Prediction
To make S& P500 stock investment more accessible to new investors and guide them to gain more long-term profits.
StockBot-Real-Time-Trading-Assistant
Developed a cutting-edge Stock Trading bot leveraging real-time closing price data. Our experiment compared four distinct agents: Policy Gradient, Q-learning, Moving Average, and Actor Critic.
uttej2001's Repositories
uttej2001/Image-based-Human-Fall-Detection
Here I integrated the YOLOv5 object detection algorithm with my own created dataset which consists of human activity images to achieve low cost, high accuracy, and real-time computing requirements
uttej2001/Anomaly-Logs-Detection
There are many studies done to detect anomalies based on logs. Current approaches are mainly divided into three categories: supervised learning methods, unsupervised learning methods, and deep learning methods. Many supervised learning methods are used for log-based anomaly detection.
uttej2001/StockBot-Real-Time-Trading-Assistant
Developed a cutting-edge Stock Trading bot leveraging real-time closing price data. Our experiment compared four distinct agents: Policy Gradient, Q-learning, Moving Average, and Actor Critic.
uttej2001/Price-Negotiator-Chatbot-System
AI Chatbot developed through Rasa. Rasa is helpful in understanding messages, holding conversations, and connecting to messaging channels and APIs.
uttej2001/Bitcoin-Price-Prediction
This is built to encourage new bitcoin investors to buy profitably at the proper moment.
uttej2001/S-P500-Price-Level-Prediction
To make S& P500 stock investment more accessible to new investors and guide them to gain more long-term profits.
uttej2001/Fake-News-Analysis-using-NLP
To put a halt to the distribution of incorrect information from any online news outlet. Build an NLP Classifier that can identify news as Real or Fake.
uttej2001/COMPARING-VARIOUS-CPU-SCHEDULING-ALGORITHMS-WITH-HYBRID-ALGORITHM
As a Hybrid Algorithm, it combines the characteristics of both SJF and Priority Algorithms.
uttej2001/dsss_homework_2
uttej2001/Face-X
Demonstration of different algorithms and operations on faces. Join the Discord channel for discussion.
uttej2001/Generative-Adversarial-Networks-GANs-Specialization
A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera
uttej2001/Multiclass-Text-Sentiment-Analysis
Created a user-friendly interface for entering product reviews, which will be analyzed and printed with the sentiment of the review text and sentiment labels of each word in the text.
uttej2001/Personality-Type-Analysis
Website to predict which TV-Character matches your personality based on Machine Learning Algorithms
uttej2001/Kaggle-Courses
Completing Kaggle Exercises
uttej2001/Kidney-Disease-Classification-MLflow-DVC
uttej2001/Learning-Basics
uttej2001/MBS-prepayment-ability
Exploring mortgage prepayment risk prediction using machine learning techniques. Leveraging Freddie Mac’s Single Family Loan-Level Dataset with 95 features categorized into Original and Performance data.
uttej2001/ML-CaPsule
Full Machine learning Guide basic to advance
uttej2001/MLOps-Machine-Learning-Operations-Specialization
Completed Duke University's Machine Learning Operations (MLOps) Specialization on Coursera. Equipped with essential skills in data science, machine learning engineering, cloud ML solutions, and AI product management. Excited to apply these newfound capabilities to drive innovation in MLOps.
uttej2001/Pong-game-Computer-Vision
This project is a modern twist on the classic Pong game that uses computer vision and hand movements for control. It combines the nostalgic gameplay of Pong with cutting-edge technology to create an immersive and interactive gaming experience.
uttej2001/sm-sentimentanalysis-bt
uttej2001/The-Sparks-Foundation-EDA
Performing ‘Exploratory Data Analysis’ on dataset ‘Indian Premier League’ and 'Global Terrorism'
uttej2001/TrueCar-Used-Car-Price-Predictions
Utilizing a dataset from TrueCar.com, this project focuses on determining the accurate price of used cars, catering to both sellers and buyers. By employing various techniques, including data analysis and predictive modeling, we aim to provide sellers with insights to set competitive prices and assist buyers in making informed decisions.
uttej2001/weather.py