12manish

Data-Analytics-for-Cyber-Security-Spam-Classification-by-R

Data-Analytics-for-Cyber-Security-for-tweets-Email-Classification by R and Python

Covid-19-Map-and-Animate-the-Coronavirus

Track, Map, and Animate the Coronavirus with Python & Basemap

Englsih_words-Autocomplete

Have created an application by Tkinter that autocomplete the words ,and showing words combinations

academic-kickstart-2

ForecastbyShinyWebApp

This App can be used as a forecasting tool to test when a specific smoothing forecasting technique should be implemented in any time sereis data.

Machine-Learning-binary-classification-and-Multilevel-Classification

Binary classification and Multilevel Classification

Machine-Learning-with-scikit-learn-classification-and-regression-

Machine Learning with scikit-learn(classification and regression)

STOCK-FORECAST-FOR-BANKS

By using different time series model we forecast the stock price for all 5 banks for next 2 years

Telecom-Churn-Prediction

Mobicom Telecom Churn Rate Pridiction

Afghan-Information-Security-Analysis

Afghan Information Security Analysis and data set has taken by https://www.azsecure-data.org/geoweb-forums.html

Afghanistan-Intelligence-and-Security-Informatics-analysis-

Afghanistan Intelligence and Security Informatics analysis (data set dawnload by https://www.azsecure-data.org/geoweb-forums.html )

Book-Recommendation-PySpark

Using PySpark Mlib and ALS model to create book recommendation

Clustering-in-Data-Science

Clustering by Using Python

Compare-the-GDP-rate-of-Aus-India-and-Usa-

By using this project we have compare the GDP rate of Aus, India and Usa by R and Tableau

Credit_Risk_Modeling

This repository contains the master code file and data-set used for the credit risk modeling session in Intelligent Machines and shared in https://www.youtube.com/watch?v=oglRV595584

low-code-Machine-learning-by-Pycaret

Here I have tried to to create model by Using Pycaret(https://pycaret.org/) in low code

Machine-Learning-Classifications

Classification is the process of predicting the class of given data points. Classes are sometimes called as targets/ labels or categories.

machine_learning_concepts

Data Science Topics

Olist_Recommender_System

Recommendation engine with a .97 AUC achieved using clustering techniques to create user features. Data represents Olist marketplace transactions and was retrieved from kaggle.com.

Online-Retail-Customer-Segmentation

Customer segmentation for Online Retails

PasdPublicNB

Potato-Crop-Disease-Detection

Project comparing all architectures of CNN for detection to get best accuracy

Product-Recommendation-System

I developed a product recommendation system using Apache Spark and Flask. It utilizes a 33 GB compressed Amazon review dataset. Data preprocessing and EDA were done in a Jupyter Notebook. The model was trained on a sample and stored in MongoDB. The Flask app with Kafka generates recommendations.

Project_ca2

pySpark

regression analysis with PySpark

resume-scanner

Resume scanner, know the % your resume fit into JD

Social-Media-Analysis-for-Understanding-Customer-Preferences-and-Sentiments

Social Media Analysis for Understanding Customer Preferences and Sentiments by using NLP in R

Stroke-Prediction

tidytuesday

Official repo for the #tidytuesday project

Tripadvisor-Restaurants-Scraping

This is a project to practise webscraping and then perform some EDA on the webscraped data.