GitHub - SayamAlt/PySpark-for-Big-Data-and-Machine-Learning: This is the material for Jose Portilla's Spark and Python for Big Data and ML course.

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This is the material for Jose Portilla's Spark and Python for Big Data and ML course.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Clustering.pdf		Clustering.pdf
Clustering_Consulting_Project.ipynb		Clustering_Consulting_Project.ipynb
Clustering_Consulting_Project_SOLUTIONS.ipynb		Clustering_Consulting_Project_SOLUTIONS.ipynb
College.csv		College.csv
Consulting Project - Recommender Systems.ipynb		Consulting Project - Recommender Systems.ipynb
ContainsNull.csv		ContainsNull.csv
Ecommerce_Customers.csv		Ecommerce_Customers.csv
Handling Missing Data using PySpark.ipynb		Handling Missing Data using PySpark.ipynb
K Means Clustering using PySpark.ipynb		K Means Clustering using PySpark.ipynb
Linear Regression with PySpark.ipynb		Linear Regression with PySpark.ipynb
Linear Regression.pdf		Linear Regression.pdf
Linear_Regression_Consulting_Project.ipynb		Linear_Regression_Consulting_Project.ipynb
Linear_Regression_Consulting_Project_SOLUTIONS.ipynb		Linear_Regression_Consulting_Project_SOLUTIONS.ipynb
Logistic Regression with PySpark.ipynb		Logistic Regression with PySpark.ipynb
Logistic Regression.pdf		Logistic Regression.pdf
Logistic_Regression_Consulting_Project.ipynb		Logistic_Regression_Consulting_Project.ipynb
Logistic_Regression_Consulting_Project_SOLUTIONS.ipynb		Logistic_Regression_Consulting_Project_SOLUTIONS.ipynb
Meal_Info.csv		Meal_Info.csv
Movie Recommendation System using PySpark.ipynb		Movie Recommendation System using PySpark.ipynb
NLP Tools - Part 1.ipynb		NLP Tools - Part 1.ipynb
NLP Tools - Part 2.ipynb		NLP Tools - Part 2.ipynb
Natural Language Processing.pdf		Natural Language Processing.pdf
Private College Prediction using Tree-based Models.ipynb		Private College Prediction using Tree-based Models.ipynb
Recommender Systems.pdf		Recommender Systems.pdf
SMS Spam Detection using Spark.ipynb		SMS Spam Detection using Spark.ipynb
Seeds Clustering with KMeans.ipynb		Seeds Clustering with KMeans.ipynb
Spark Basics.ipynb		Spark Basics.ipynb
Spark DataFrame Basic Operations.ipynb		Spark DataFrame Basic Operations.ipynb
Spark DataFrame Basics.pdf		Spark DataFrame Basics.pdf
Spark DataFrame Groupby and Aggregate Operations.ipynb		Spark DataFrame Groupby and Aggregate Operations.ipynb
Spark DataFrames Project Exercise - SOLUTIONS.ipynb		Spark DataFrames Project Exercise - SOLUTIONS.ipynb
Spark DataFrames Project Exercise.ipynb		Spark DataFrames Project Exercise.ipynb
Spark Linear Regression.ipynb		Spark Linear Regression.ipynb
Spark Streaming.ipynb		Spark Streaming.ipynb
Spark Streaming.pdf		Spark Streaming.pdf
Titanic Survival Prediction using PySpark.ipynb		Titanic Survival Prediction using PySpark.ipynb
Tree Methods using PySpark.ipynb		Tree Methods using PySpark.ipynb
Tree_Methods_Consulting_Project.ipynb		Tree_Methods_Consulting_Project.ipynb
Tree_Methods_Consulting_Project_SOLUTION.ipynb		Tree_Methods_Consulting_Project_SOLUTION.ipynb
Working with Dates and Timestamps using PySpark.ipynb		Working with Dates and Timestamps using PySpark.ipynb
appl_stock.csv		appl_stock.csv
cruise_ship_info.csv		cruise_ship_info.csv
customer_churn.csv		customer_churn.csv
dog_food.csv		dog_food.csv
fake_customers.csv		fake_customers.csv
hack_data.csv		hack_data.csv
movielens_ratings.csv		movielens_ratings.csv
new_customers.csv		new_customers.csv
people.json		people.json
sales_info.csv		sales_info.csv
sample_kmeans_data.txt		sample_kmeans_data.txt
sample_libsvm_data.txt		sample_libsvm_data.txt
sample_linear_regression_data.txt		sample_linear_regression_data.txt
seeds_dataset.csv		seeds_dataset.csv
seeds_dataset.txt		seeds_dataset.txt
spark_streaming.py		spark_streaming.py
structured_spark_streaming.py		structured_spark_streaming.py
titanic.csv		titanic.csv
tweet_read.py		tweet_read.py
twitter_streaming_spark_analysis.py		twitter_streaming_spark_analysis.py
visualize_tag_popularity.py		visualize_tag_popularity.py
walmart_stock.csv		walmart_stock.csv

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