Machine-Learning-with-Python-projects

These are a collection of my Machine Learning projects utilizing Python. Some of these were completed as part of my Fellowship at UMass and some were independent projects I did in my spare time.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Anes_2020.ipynb		Anes_2020.ipynb
Anomaly_Detection_for_Dummies.ipynb		Anomaly_Detection_for_Dummies.ipynb
Applying 10 Time Series Forecasting models with O2 data.ipynb		Applying 10 Time Series Forecasting models with O2 data.ipynb
Articles Rec System Implicit.ipynb		Articles Rec System Implicit.ipynb
Evaluation.ipynb		Evaluation.ipynb
FSA Matcher.ipynb		FSA Matcher.ipynb
G7 Countries Real Residential Property Prices.ipynb		G7 Countries Real Residential Property Prices.ipynb
Granger Causality Test.ipynb		Granger Causality Test.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
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
Ocean Sea Breeze EDA and Time Series forecast for Occupancy.ipynb		Ocean Sea Breeze EDA and Time Series forecast for Occupancy.ipynb
Ocean Two EDA and time series forecast 2016-01-01 to 2019-08-04.ipynb		Ocean Two EDA and time series forecast 2016-01-01 to 2019-08-04.ipynb
Outbreaks_Headlines.ipynb		Outbreaks_Headlines.ipynb
PC Purchasing Profile.ipynb		PC Purchasing Profile.ipynb
Points Model Exercise Part 3 Member behavioral segments_Susan Li.ipynb		Points Model Exercise Part 3 Member behavioral segments_Susan Li.ipynb
Points Modelling Exercise Part 1 Email Targeting List_Susan Li.ipynb		Points Modelling Exercise Part 1 Email Targeting List_Susan Li.ipynb
Polo Towers OCC & ADR & Rental RevPar & Time Series.ipynb		Polo Towers OCC & ADR & Rental RevPar & Time Series.ipynb
Polo Towers Prophet .ipynb		Polo Towers Prophet .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
Pysurvival.ipynb		Pysurvival.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
Scikit-Survival.ipynb		Scikit-Survival.ipynb
Seattle Hotels Recommender.ipynb		Seattle Hotels Recommender.ipynb
Seattle_Hotels.csv		Seattle_Hotels.csv
Sentence Classification & Hotel Recommender.ipynb		Sentence Classification & Hotel Recommender.ipynb
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
b_estimator.ipynb		b_estimator.ipynb
beef.csv		beef.csv
bpr.py		bpr.py
bpr_OnlineRetail_Implicit.ipynb		bpr_OnlineRetail_Implicit.ipynb
bpr_OnlineRetail_TF.ipynb		bpr_OnlineRetail_TF.ipynb
breast_cancer_predict.ipynb		breast_cancer_predict.ipynb
c_batched.ipynb		c_batched.ipynb
classes.py		classes.py
create_datasets.ipynb		create_datasets.ipynb
cv_load_CatBoost.ipynb		cv_load_CatBoost.ipynb
cv_load_Xgboost.ipynb		cv_load_Xgboost.ipynb
cv_load_auto-sklearn.ipynb		cv_load_auto-sklearn.ipynb
cv_load_autogluon.ipynb		cv_load_autogluon.ipynb
d_traineval.ipynb		d_traineval.ipynb
data_preprocessing.py		data_preprocessing.py
dataset.csv		dataset.csv
diabetes.csv		diabetes.csv
filereader.py		filereader.py
fruit_data_with_colors.txt		fruit_data_with_colors.txt
hitrate.py		hitrate.py
machine learning spaCy.ipynb		machine learning spaCy.ipynb
mainbpr.ipynb		mainbpr.ipynb
map.png		map.png
mlapis.ipynb		mlapis.ipynb
multiple_correspondence_analysis.ipynb		multiple_correspondence_analysis.ipynb
nhanes_confidence_intervals.ipynb		nhanes_confidence_intervals.ipynb
nhanes_hypothesis_testing.ipynb		nhanes_hypothesis_testing.ipynb
python_libraries.ipynb		python_libraries.ipynb
research_paper.csv		research_paper.csv
scatter_plots.ipynb		scatter_plots.ipynb
stack_over_flow_auto_tagging.ipynb		stack_over_flow_auto_tagging.ipynb
topic_modeling_Gensim.ipynb		topic_modeling_Gensim.ipynb
tpot_Mercedes_testing_time_pipeline.py		tpot_Mercedes_testing_time_pipeline.py
util.py		util.py

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Repository files navigation

Machine-Learning-with-Python-projects

About

Uh oh!

Releases

Packages

Languages

contactrameezraja/Machine-Learning-with-Python-projects

Folders and files

Latest commit

History

Repository files navigation

Machine-Learning-with-Python-projects

About

Topics

Resources

Uh oh!

Stars

Watchers

Forks

Releases

Packages 0

Languages

Packages