Idilismiguzel / NLP-with-Python

Related projects ⓘ

Alternatives and complementary repositories for NLP-with-Python

• MukundAabha / Data_Science_ML_DL_NLP_Interview_Qus
  Data Science, Machine Learning, Deep Learning, NLP, Python & Library's cheat Sheet - Interview Questions & Notes
  ☆56Updated 3 years ago
• komal11lamba / 50-days-of-Statistics-for-Data-Science
  This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded …
  ☆25Updated 2 years ago
• mollyryanruby / Olist_Ecommerce_Recommendation_Engine
  Recommendation Engine for Ecommerce Site Olist
  ☆13Updated 4 years ago
• diardanoraihan / Text_Classification_Capstone
  Evaluate the performance of several state-of-the-art deep learning techniques on various text classification datasets. This project is pa…
  ☆27Updated 3 years ago
• edaaydinea / Miuul-Machine-Learning-Summer-Bootcamp
  This repo includes projects and assignments made within the Machine Learning Summer Bootcamp.
  ☆13Updated 2 years ago
• viveknest / statascratch-solutions
  ☆12Updated last year
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆66Updated 4 years ago
• cereniyim / Customer-Segmentation-Unsupervised-ML-Model
  Customer-base segmentation over e-commerce sales data
  ☆24Updated 4 years ago
• Pegah-Ardehkhani / Statistics-and-Probability-in-Python
  A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
  ☆137Updated 2 weeks ago
• bhattbhavesh91 / linear-regression-assumptions
  A small repository explaining how you can validate your linear regression model based on assumptions
  ☆12Updated 3 years ago
• chudzikr / Fraud_Detection_in_Python
  Fraud Detection in Python, DataCamp course
  ☆12Updated 5 years ago
• Jcharis / Data-Cleaning-Practical-Examples
  Data Cleaning In Python and Julia with Practical Examples
  ☆79Updated 5 years ago
• eswarchandt / Machine-Learning-Algorithms-with-Pyspark
  In this Complete process in machine learning is discussed and done with pyspark .
  ☆18Updated 4 years ago
• aws-samples / churn-prediction-with-text-and-interpretability
  Predict customer churn with text and interpretability.
  ☆12Updated 3 years ago
• YuehHanChen / Telco_Customer_Churn_Analysis
  Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…
  ☆10Updated 4 years ago
• krishnadulal / Feature-Selection-in-Machine-Learning-using-Python-All-Code
  Feature Selection in Machine Learning using Python All Code
  ☆33Updated 5 years ago
• rashida048 / Few-Machine-Learning-projects
  These projects use pandas, matplotlib, numpy, scipy and scikitlearn
  ☆9Updated 2 years ago
• PacktPublishing / Data-Cleaning-and-Exploration-with-Machine-Learning
  Data Cleaning and Exploration with Machine Learning
  ☆52Updated last year
• mdh266 / TextClassificationApp
  Building and Deploying A Serverless Text Classification Web App
  ☆18Updated last year
• vatsal220 / medium_articles
  This repository will contain the code associated to the scripts I've been writing in my medium articles
  ☆44Updated last year
• gonzaferreiro / Networks_Analysis_plus_Recommendations_system
  This project explores the classic MovieLens dataset, first from a networks perspective, analyzing the relationship between users and movi…
  ☆17Updated 5 years ago
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 3 years ago
• vinyluis / Articles
  References to the Medium articles
  ☆86Updated 2 years ago
• regmi-saugat / 66Days_MachineLearning
  I am sharing my journey of 66DaysOfData in Machine Learning
  ☆55Updated 2 years ago
• trenton3983 / DataCamp
  code for DataCamp classes
  ☆84Updated 6 months ago
• Zeeshan75 / Collection-of-interview-questions-ML-pdfs
  Gathered multiple pdfs regarding interview questions on machine learning and deep learning
  ☆36Updated 4 years ago
• aniruddha27 / Information-Extraction-using-Python
  A notebook to understand the concept of Information Extraction using NLP techniques in Python.
  ☆41Updated 3 years ago
• suneelpatel / Statistics-for-Data-Science-using-Python
  Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that a…
  ☆43Updated 5 years ago
• KristenKehrer / schoolbus_yolov5
  ☆16Updated 2 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆71Updated 3 years ago