Eben Emmanuel's repositories
60-Days-of-Data-Science
In this repo, we will cover a majority of topics in Data Science within 60 Days.
Bengaluru-Restaurant-Price-Prediction
Restaurant Price prediction done on the data obtained from Zomato.
Customer-Segmentation
Introduction to K-Means Clustering
Deloitte-Challenge
Predict Loan Defaulters
Disease-Named-Entity-Extraction
Creating a Clinical Named Entity Recognition Model which can recognize the Disease Names from Clinical Text.
Feature-Transformation
Understanding different Feature Transformation Techniques using python.
Geospatial-Analysis
In this repository we will perform Geospatial Analysis from Kaggle Course
Google-Pan-Image-Scraper
This repository will help in obtaining (scraping) Google PAN Card Images.
Google-Web-Scrapper
Scrape Web Pages using BeautifulSoup and Selenium.
Insurance-Claim
Classification Problem for understanding whether the customers will seek Insurance Claim is Approval or Not
Machine-Learning-Models
In this repo we will see the practical implementation of different Machine Learning Models.
Natural-Language-Processing
Understanding NLP concepts.
Optical-Character-Recognition
This Optical Character Recognition was done with EasyOCR and Python
SMS-Spam-Classifier
Creating a model that can help in identifying spam messages.
SQL-Basics
In this repo we will cover the basics of SQL in Oracle Live SQL
Statistics-in-Python
This repo contains basic statistics code from the 7 day statistics live session by Krish Naik
Stock-News-Sentiment-Analysis
In this repository we will be performing Sentiment Analysis on the scrapped stock news.
Stock-Price-Analysis
In this project we will be understanding Models for Time Series. These Models Involve ARIMA, SARIMAX and LSTM
String-Matching
Introduction to the Concept of FuzzyWuzzy
The-Value-of-Keeping-the-Right-Customers
Customer Churn Analysis in E-Commerce Industry.
COVID-19-Portfolio
Data Analyst Project on COVID 19
Fake-News-Classifier
Apply different methods to under and classify fake news
Practical-Statistics-for-Data-Scientists
Implementation of the book "Practical Statistics for Data Scientists" in Python