Fundamentals of Python Machine Learning for Consultants DevCourseWeb

Fundamentals of Python Machine Learning for Consultants DevCourseWeb
     Get Bonus Downloads Here.url -


     1. Setting up the Python Environment.mp4 -


     2. Python Basics - variables, data types, operations and functions.mp4 -


     2.1 number_analyzer.py -


     3. Python Language Reference.mp4 -


     4. Python Data Science Library Pandas.mp4 -


     4.1 city_temperature.py -


     5. Python Data Science Library Numpy.mp4 -


     5.1 temperature_analysis.py -


     1. Guideline When Building Machine Learning.mp4 -


     1.1 Guideline Build Machine Learning.pdf -


     2. Understanding the Architectural Layers of Data Engineer.mp4 -


     2.1 Data Engineer Architecture Layer.pdf -


     3. Data Preparation as an Example.mp4 -


     3.1 bitcoin_tweets.json -


     3.2 cleaned_bitcoin_tweets.json -


     3.3 data_process_bitcoin_tweets_data.py -


     1. A look at Bitcoin Sentiment Data.mp4 -


     1.1 sentiment_dataset.json -


     2. Bitcoin Sentiment Visualization Technique using Matplotlib.mp4 -


     2.1 bitcoin_sentiment_matplotlib.py -


     2.2 sentiment_dataset.json -


     3. Visualization Technique with Seaborn.mp4 -


     3.1 data_sentiment_seaborn.py -


     1. Inventory Forecasting - Probability Analysis.mp4 -


     1.1 inventory_forecasting.py -


     1.2 sales_inventory_data.json -


     1.3 sales_records_data.json -


     2. Linear Regression Data Analysis.mp4 -


     2.1 inventory_linear_regression.py -


     3. Clustering Data Analytics.mp4 -


     3.1 sales_inventory_clustering_unsupervised.py -


     1. What is Databricks and setup Cloud Account.mp4 -


     2. Load Data into Cluster.mp4 -


     2.1 sol_exchange_data_yearly.csv -


     3. Linear Regression with pySpark and Apache Spark.mp4 -


     4. Where to go From Here.mp4 -


     Bonus Resources.txt -

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