Stars
Sentiment analysis using machine learning techniques.
Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target
ECommerce Startup Database Analysis Project with MySQL Workbench | SQL Aggregations, JOINs, CTEs | Web Analytics | Product Analytics
Basic to Complex SQL Server queries with Adventure Works database including window functions, triggers, string manipulation, user-defined functions, CTE, recursive CTE, DML and DDL
Notebooks and code for the book "Introduction to Machine Learning with Python"
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
This repository contains implementation of ML algorithms like: Linear Regression, Naive Bayes, PCA, Stacking, XG Boost, Logistic Rregression, DBSCAN, SVM, Cross Validation, Ensemble Technique, K-Me…
This contains data analysis projects
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
🤖⚡ 50 scikit-learn tips
Summary of DeepLearning (Korean and English are included)
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Your new Mentor for Data Science E-Learning.
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications