uttej2001 Goto Github PK

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.

face-x

Demonstration of different algorithms and operations on faces. Join the Discord channel for discussion.

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.

generative-adversarial-networks-gans-specialization

A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera

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

kaggle-courses

Completing Kaggle Exercises

learning-basics

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.

ml-capsule

Full Machine learning Guide basic to advance

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.

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.

personality-type-analysis

Website to predict which TV-Character matches your personality based on Machine Learning Algorithms

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.

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.

sm-sentimentanalysis-bt

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.

the-sparks-foundation-eda

Performing ‘Exploratory Data Analysis’ on dataset ‘Indian Premier League’ and 'Global Terrorism'

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.

weather.py