Machine-Learning-with-Python

Python codes for common Machine Learning Algorithms. Python codes for beginners who just started their career in Data Science and Machine Learning.

Name		Name	Last commit message	Last commit date
Latest commit History 165 Commits
data		data
movielens_data		movielens_data
03_Numpy_Notebook.ipynb		03_Numpy_Notebook.ipynb
05a_Matplotlib_Notebook.ipynb		05a_Matplotlib_Notebook.ipynb
05b_Exploring Indicator's Across Countries.ipynb		05b_Exploring Indicator's Across Countries.ipynb
05c_Folium_Notebook.ipynb		05c_Folium_Notebook.ipynb
20070103-^NSEI.csv		20070103-^NSEI.csv
A Simple Classification.ipynb		A Simple Classification.ipynb
Ad Demand Forecast Avito.ipynb		Ad Demand Forecast Avito.ipynb
Airbnb Listing Toronto.ipynb		Airbnb Listing Toronto.ipynb
Airbnb New User Bookings.ipynb		Airbnb New User Bookings.ipynb
Airbnb New User Bookings_2.ipynb		Airbnb New User Bookings_2.ipynb
Anomaly_Detection_for_Dummies.ipynb		Anomaly_Detection_for_Dummies.ipynb
Articles Rec System Implicit.ipynb		Articles Rec System Implicit.ipynb
Autoencoder for Customer Churn.ipynb		Autoencoder for Customer Churn.ipynb
BOW_TFIDF_Xgboost_update.ipynb		BOW_TFIDF_Xgboost_update.ipynb
Bayesian Logistic Regression_bank marketing.ipynb		Bayesian Logistic Regression_bank marketing.ipynb
Bayesian Modeling Customer Support Response time.ipynb		Bayesian Modeling Customer Support Response time.ipynb
Bayesian Statistics Python_PyMC3_ArviZ.ipynb		Bayesian Statistics Python_PyMC3_ArviZ.ipynb
Bayesian price Mercari with PyStan.ipynb		Bayesian price Mercari with PyStan.ipynb
Build Recommender System in an Hour - Part 2.ipynb		Build Recommender System in an Hour - Part 2.ipynb
Building Recommender System with Surprise.ipynb		Building Recommender System with Surprise.ipynb
CLV_Hopper.ipynb		CLV_Hopper.ipynb
CLV_Non_Contractual.ipynb		CLV_Non_Contractual.ipynb
CLV_Online_Retail.ipynb		CLV_Online_Retail.ipynb
Classifier Visualization.ipynb		Classifier Visualization.ipynb
Click-Through Rate Prediction.ipynb		Click-Through Rate Prediction.ipynb
Clustering Loyalty members.ipynb		Clustering Loyalty members.ipynb
Collaborative Filtering Model with TensorFlow.ipynb		Collaborative Filtering Model with TensorFlow.ipynb
Consumer_complaints.ipynb		Consumer_complaints.ipynb
Customer_Segmentation_Online_Retail.ipynb		Customer_Segmentation_Online_Retail.ipynb
Customer_Segmentation_Whosale.ipynb		Customer_Segmentation_Whosale.ipynb
Ease_of_Business.ipynb		Ease_of_Business.ipynb
Employee_Turnover.ipynb		Employee_Turnover.ipynb
European Soccer Regression Analysis using scikit-learn.ipynb		European Soccer Regression Analysis using scikit-learn.ipynb
Evaluation.ipynb		Evaluation.ipynb
H2O Higgs Boson.ipynb		H2O Higgs Boson.ipynb
HR.csv		HR.csv
Hotel Optimize Click-through.ipynb		Hotel Optimize Click-through.ipynb
Hotel recommendation.ipynb		Hotel recommendation.ipynb
Introduction to Data Science in Python - Soccer Data Analysis.ipynb		Introduction to Data Science in Python - Soccer Data Analysis.ipynb
Introduction to Pandas.ipynb		Introduction to Pandas.ipynb
LDA.ipynb		LDA.ipynb
LSTM Time Series Power Consumption.ipynb		LSTM Time Series Power Consumption.ipynb
Logistic Regression balanced.ipynb		Logistic Regression balanced.ipynb
Logistic Regression in Python - Step by Step.ipynb		Logistic Regression in Python - Step by Step.ipynb
Machine Learning for Diabetes.ipynb		Machine Learning for Diabetes.ipynb
Mercari Price Suggestion Lightgbm.ipynb		Mercari Price Suggestion Lightgbm.ipynb
Modeling House Price with Regularized Linear Model & Xgboost.ipynb		Modeling House Price with Regularized Linear Model & Xgboost.ipynb
Movielens Recommender Metrics.ipynb		Movielens Recommender Metrics.ipynb
Multi label text classification.ipynb		Multi label text classification.ipynb
Multiple Linear Regression.ipynb		Multiple Linear Regression.ipynb
NYC taxi fare.ipynb		NYC taxi fare.ipynb
Natural Language Processing of Movie Reviews using nltk .ipynb		Natural Language Processing of Movie Reviews using nltk .ipynb
Outbreaks_Headlines.ipynb		Outbreaks_Headlines.ipynb
Practical Statistics House Python_update.ipynb		Practical Statistics House Python_update.ipynb
Predict hotel booking.ipynb		Predict hotel booking.ipynb
Predict_Bay_Area_Home_Price.ipynb		Predict_Bay_Area_Home_Price.ipynb
Price Elasticity of Demand.ipynb		Price Elasticity of Demand.ipynb
Promotional Time Series .ipynb		Promotional Time Series .ipynb
Propensity Modeling for Email Marketing Campaign.ipynb		Propensity Modeling for Email Marketing Campaign.ipynb
PySpark_Basic_DataFrame_Operations.ipynb		PySpark_Basic_DataFrame_Operations.ipynb
Quantile Regression.ipynb		Quantile Regression.ipynb
README.md		README.md
Recommender Systems - The Fundamentals.ipynb		Recommender Systems - The Fundamentals.ipynb
Recursive least squares.ipynb		Recursive least squares.ipynb
Regression Diagnostics.ipynb		Regression Diagnostics.ipynb
Regression Plots.ipynb		Regression Plots.ipynb
SF_Crime_Text_Classification_PySpark.ipynb		SF_Crime_Text_Classification_PySpark.ipynb
Seattle Hotels Recommender.ipynb		Seattle Hotels Recommender.ipynb
Seattle_Hotels.csv		Seattle_Hotels.csv
Simple Linear Regression.ipynb		Simple Linear Regression.ipynb
Softmax function.ipynb		Softmax function.ipynb
Solving A Simple Classification Problem with Python.ipynb		Solving A Simple Classification Problem with Python.ipynb
Spark DataFrames Project Exercise_Udemy.ipynb		Spark DataFrames Project Exercise_Udemy.ipynb
Supervised Learning - Part I.ipynb		Supervised Learning - Part I.ipynb
Supervised Learning - Part II.ipynb		Supervised Learning - Part II.ipynb
TPOT Mercedes.ipynb		TPOT Mercedes.ipynb
Text Classification Keras.ipynb		Text Classification Keras.ipynb
Text Classification keras_consumer_complaints.ipynb		Text Classification keras_consumer_complaints.ipynb
Time Series ANN & LSTM VIX.ipynb		Time Series ANN & LSTM VIX.ipynb
Time Series Forecastings.ipynb		Time Series Forecastings.ipynb
Time Series LSTM VIX.ipynb		Time Series LSTM VIX.ipynb
Time Series of Price Anomaly Detection Expedia.ipynb		Time Series of Price Anomaly Detection Expedia.ipynb
Timeseries anomaly detection using LSTM Autoencoder JNJ.ipynb		Timeseries anomaly detection using LSTM Autoencoder JNJ.ipynb
Topic Modeling.ipynb		Topic Modeling.ipynb
Trip Segmentation by User Search Behaviors.ipynb		Trip Segmentation by User Search Behaviors.ipynb
Unsupervised Learning.ipynb		Unsupervised Learning.ipynb
Using the Twitter API for Tweet Analysis.ipynb		Using the Twitter API for Tweet Analysis.ipynb
Weather Data Classification using Decision Trees.ipynb		Weather Data Classification using Decision Trees.ipynb
Weather Data Clustering using k-Means.ipynb		Weather Data Clustering using k-Means.ipynb
Working with Databases.ipynb		Working with Databases.ipynb
Xgboost_bow_tfidf.ipynb		Xgboost_bow_tfidf.ipynb
Zakka_Canada_CLV.ipynb		Zakka_Canada_CLV.ipynb
a_features.ipynb		a_features.ipynb
a_tfstart.ipynb		a_tfstart.ipynb
adspy_shared_utilities.py		adspy_shared_utilities.py
b_estimator.ipynb		b_estimator.ipynb
beef.csv		beef.csv
breast_cancer_predict.ipynb		breast_cancer_predict.ipynb

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