istephen77 Goto Github PK

automobile-pricing-predictor

This ML project is developed to analyze and visualize the used car prices for the automobile dataset (source : Kaggle) in order to predict the most probable car price with maximum precision and accuracy.

aws-ci-cd-projects

big-data-resources-interview-preparation

boston-house-price-predictor

This is a ML model implemented by me using the Boston House Price dataset. This ML model is implemented by using Random Forest Regressor model with 89.67% model prediction accuracy.

cassandra-kafka-pyspark-streaming-datapipelines

Develop a real-time streaming data pipeline using Cassandra and Kafka. Ingest, process, and store data efficiently, enabling scalable, fault-tolerant, and low-latency analytics for dynamic, high-volume datasets.

chat_application_tcp_sockets_python

codewars---8kyukatas

customersegmentationdashboard

Customer Segmentation Dashboard of Sales Data of EU region using Power-BI viz.

data-ingestion-snowflake

dsa_assignment

dsa_notes

dsa_python

fidget-spinner-python

Fidget Spinner using Turtle library

flask_tech_blog

Fully functional Tech blog created by using Flask microservice and SQLAlchemy library is used as a connecter to connect with the MySQL DB.

flipping-cards

git-tutorial

This is my repository of git tutorial

gitdemo

gitdemo_html

gitdemocicd

hand-gesture-recognition

In this project i have developed a hand gesture recognition engine using the OpenCV library.

hbase

HBASE SHELL COMMANDS

hive-project-to-build-data-warehouse-for-e-commerce

Hive-Project-to-build-Data-Warehouse-for-E-Commerce is an open source Data-Warehouse tool to process structured data on top of Hadoop which is meant to solve the Analytical problem. Analytical system is the one where we deal with the historical data. It analyses the large batches of data Long running jobs to Multiple Data Sources.

hive_3012

hypothesis-testing-ml

Chi-Square test, T-test, Two-Sample T-Test, Paired T-Test with Python

ineuron_assignments

ineuron_technical_consultant_hive_analysis

inx-future-inc-employee-performance

Exploratory Data Analysis (EDA) report on the Employee Performance report of INX Future Inc,

iris-petal-length-predictor

This is a ML model implemented by me using the Iris petal length dataset. This ML model is implemented by using Random Forest Classifier model with 97.77% model prediction accuracy.

istephen77

lasso_ridge_regressor