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api_via_postman

calclator_api

API via postman and HTML page

credit-card-customer-churn

A data analysis project that predicts credit card customer churn using machine learning models, comparing their performance and utilizing principal component analysis (PCA) for dimensionality reduction.

data-analysis-using-algebraic-and-geometric-methods-in-statistics

This project utilizes algebraic and geometric methods in statistics to analyze real-life data using R. It involves conducting various statistical tests, creating Bayesian network graphs, employing linear regression models, and evaluating model fit.

datasciencecoursera

Data science coursera

datasharing

The Leek group guide to data sharing

deep-learning-projects

Deep Leaning Technique in steganography with multimedia network security

deeplabcut-package-for-animal-pose-estimation

DeepLabCut Mouse Location Prediction: Training a deep neural network to predict the location of a mouse using annotated joint positions.

drowsiness-detection-system-with-emotion-analysis-for-improved-vehicle-experience

A drowsiness detection system with emotion analysis for motor vehicles, enhancing safety by alerting drivers when they are drowsy and providing a personalized in-cabin experience based on their emotions.

eda

Exploratory data Analysis for different datasets

effect-of-box-office-on-unemployment

Data preparation and cleaning process for movie ratings and reviews dataset and US unemployment rate dataset, involving an 8-step data wrangling process to create an Analytic Base Table (ABT) structure, emphasizing data structuring techniques, cleaning for outliers and missing values, and the importance of accurate and reliable data for analysis.

fake-news-classification

An advanced machine learning project focused on classifying news articles into 'agreed', 'disagreed', and 'unrelated' categories to effectively identify and combat fake news

gittest

google-ads-optimization

Advanced algorithm development for revenue maximization and enhanced conversion value in Google Ads expenditure, achieving a 15% increase in lead conversions while reducing costs

imagescrapper

predicting-the-success-of-falcon-9-rocket-landings

Predictive algorithms for determining the success of Falcon 9 first-stage landing, enabling informed bidding strategies for rocket launch startups.

research_paper_summarization

research paper summarization using LLM

retail_data_analysis

Retail data analysis pipeline utilizing AWS S3, Snowflake, Python, SQL, and Tableau. It demonstrates data transformation and setup in Jupyter Notebook, integrates real-time retail insights via an automated Tableau dashboard with Snowflake, and employs a CRON job in Jupyter Lab connected to Amazon SQS for consistent data updates.

reviewscrapper

sensor-fault-detection

Fault detection caused by APS (Air pressure System) in heavy duty vechicles

sensor-fault-detection-1

Fault detection caused by APS (Air pRessure System) in heavy duty vechicles

working-with-apache-spark-mllib

Implemented Apache Spark MLLib to analyze a large car dataset, predict car selling prices, and gain insights into the car market.