Idilismiguzel / NLP-with-Python

Related projects: ⓘ

• 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
• aws-samples / churn-prediction-with-text-and-interpretability
  Predict customer churn with text and interpretability.
  ☆10Updated 3 years ago
• solegalli / deploying-machine-learning-models
  Example Repo for the Udemy Course "Deployment of Machine Learning Models"
  ☆20Updated 4 years ago
• PacktPublishing / Data-Cleaning-and-Exploration-with-Machine-Learning
  Data Cleaning and Exploration with Machine Learning
  ☆52Updated last year
• solegalli / machine-learning-interpretability
  ☆19Updated last month
• MukundAabha / Data_Science_ML_DL_NLP_Interview_Qus
  Data Science, Machine Learning, Deep Learning, NLP, Python & Library's cheat Sheet - Interview Questions & Notes
  ☆54Updated 3 years ago
• cereniyim / Customer-Segmentation-Unsupervised-ML-Model
  Customer-base segmentation over e-commerce sales data
  ☆24Updated 4 years ago
• ashishpatel26 / Computer-Vision-Papers-of-the-week
  Computer Vision Papers of the week
  ☆17Updated last year
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 3 years ago
• solegalli / feature-selection-with-feature-engine-book
  Code repository for the book Feature engineering with Feature-engine
  ☆12Updated 4 months ago
• Pegah-Ardehkhani / Statistics-and-Probability-in-Python
  Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"
  ☆132Updated 2 months ago
• amyoshino / Recommendation-System-with-Apriori-and-ECLAT
  Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms
  ☆28Updated 7 years ago
• mkosaka1 / AirPassengers_TimeSeries
  Demonstrating the efficiency of pmdarima’s auto_arima() function compared to implementing a traditional ARIMA model.
  ☆9Updated 3 years ago
• ashishpatel26 / Introduction-to-Time-Series-forecasting
  Time Series Analysis of Internation Air Passengers
  ☆39Updated 5 years ago
• kevinclee26 / sentiment_analysis_classification
  ☆17Updated 3 years ago
• chudzikr / Fraud_Detection_in_Python
  Fraud Detection in Python, DataCamp course
  ☆12Updated 4 years ago
• newking9088 / MITx_6.86x_Machine_Learning_with_Python-From_Linear_Models_to_Deep_Learning_Fall_2020
  Welcome to 6.86x Machine Learning with Python–From Linear Models to Deep Learning. Machine learning methods are commonly used across eng…
  ☆10Updated 3 years ago
• charumakhijani / spark-ml-deployment
  ☆11Updated 3 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆24Updated 3 years ago
• curiousily / Machine-Learning-from-Scratch
  Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of…
  ☆165Updated last year
• ajhalthor / bayesian-testing
  Notebook to walk through Bayesian testing with Kaggle data
  ☆38Updated 3 years ago
• aiwithqasim / facemask_detection
  Facemask detection using MobileNet
  ☆12Updated 2 years ago
• solegalli / hyperparameter-optimization
  Code repository for the online course Hyperparameter Optimization for Machine Learning
  ☆110Updated last week
• vatsal220 / medium_articles
  This repository will contain the code associated to the scripts I've been writing in my medium articles
  ☆44Updated last year
• Idilismiguzel / Machine-Learning
  ☆14Updated last year
• ashishpatel26 / Docker-For-Python-Machine-learning
  Docker For Python Machine learning
  ☆11Updated last year
• kurtispykes / twitter-sentiment-analysis
  Creating a Gradio user interface to predict the sentiment of a tweet
  ☆12Updated 2 years ago
• balavenkatesh3322 / Deep-learning-Notebook
  A collection of deep learning notebooks for learning and practicing.
  ☆18Updated 3 years ago
• benai9916 / Handle-imbalanced-data
  Get familiar with various techniques to handle the imbalanced class.
  ☆26Updated 2 years ago
• ashishpatel26 / llm-course
  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
  ☆18Updated 8 months ago