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Introduction
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Introduction
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Overview
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What is Spark ML
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Introduction to Machine Learning
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Apache Spark Basics (Optional)
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Introduction to Apache Spark
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(Old) Free Account creation in Databricks
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Login (New) Free Account creation in Databricks
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Provisioning a Spark Cluster
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Basics about notebooks
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Why we should learn Apache Spark?
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Spark RDD (Create and Display Practical)
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Spark Dataframe (Create and Display Practical)
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Anonymus Functions in Scala
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Extra (Optional on Spark DataFrame)
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Extra (Optional on Spark DataFrame) in Details
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Spark Datasets (Create and Display Practical)
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Apache Spark Machine Learning
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Types of Machine Learning
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Steps involved in Machine Learning Program
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Spark MLlib
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Importing Notebook and Data Upload
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Basic statistics Correlation
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Data Source
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Data Source CSV File
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Data Source JSON File
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Data Source LIBSVM File
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Data Source Image File
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Data Source Arvo File
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Data Source Parquet File
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Machine Learning Data Pipeline Overview
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Machine Learning Project as an Example
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Machine Learning Pipeline Example Project (Will it Rain Tomorrow in Australia) 1
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Machine Learning Pipeline Example Project (Will it Rain Tomorrow in Australia) 2
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Machine Learning Pipeline Example Project (Will it Rain Tomorrow in Australia) 3
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Components of a Machine Learning Pipeline
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Extracting, transforming and selecting features
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TF-IDF (Feature Extractor)
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Word2Vec (Feature Extractor)
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CountVectorizer (Feature Extractor)
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FeatureHasher (Feature Extractor)
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Tokenizer (Feature Transformers)
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StopWordsRemover (Feature Transformers)
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n-gram (Feature Transformers)
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Binarizer (Feature Transformers)
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PCA (Feature Transformers)
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Polynomial Expansion (Feature Transformers)
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Discrete Cosine Transform (DCT) (Feature Transformers)
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StringIndexer (Feature Transformers)
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IndexToString (Feature Transformers)
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OneHotEncoder (Feature Transformers)
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SQLTransformer (Feature Transformers)
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VectorAssembler (Feature Transformers)
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RFormula (Feature Selector)
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ChiSqSelector (Feature Selector)
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Classification Model
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Decision tree classifier Project
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Logistic regression Model (Classification Model It has regression in the name)
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Naive Bayes Project (Iris flower class prediction)
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Random Forest Classifier Project
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Gradient-boosted tree classifier Project
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Linear Support Vector Machine Project
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One-vs-Rest classifier (a.k.a. One-vs-All) Project
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Regression model
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Linear Regression Model Project
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Decision tree regression Model Project
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Random forest regression Model Project
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Gradient-boosted tree regression Model Project
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Clustering KMeans Project (Mall Customer Segmentation)
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Explanation of few terms used in Model
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Linear Regression Model Project - Predict Ads Click
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Download Data
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Download Source Code
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Predict Ads Code and Data (Project)
Preview - Machine Learning with Apache Spark 3.0 using Scala
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