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Title
2.1.1 Reading Data from a CSV File
Unattempted
2.1.2 Extracting Data with Database Queries
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2.1.3 Consolidating Data from Multiple Sources
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2.1.4 Handling Irregular and Unusable Data
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2.2.1 Correcting Data Formats
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2.2.2 De-duplicating Data
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2.2.3 Handling Textual Data
Unattempted
2.3.1 Loading Data into a Database
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2.3.2 Loading Data into a DataFrame
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2.3.3 Exporting Data to a CSV File
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3.1.1 Examining Data
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3.2.1 Exploring the Underlying Distribution of Data
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3.2.2 Analyzing Data Using Histograms
Unattempted
3.3.1 Analyzing Data Using Box Plots and Violin Plots
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3.3.2 Analyzing Data Using Scatter Plots and Line Plots
Unattempted
3.3.3 Analyzing Data Using Bar Charts
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3.3.4 Analyzing Data Using HeatMaps
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3.3.5 Handling Missing Values
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3.4.1 Applying Transformation Functions to a Dataset
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3.4.2 Encoding Data
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3.4.3 Discretizing Variable
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3.4.4 Splitting and Removing Features
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3.4.5 Performing Dimensionality Reduction
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5.1.1 Training a Logistic Regression Model
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5.1.2 Training a k-NN Model
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5.1.3 Training an SVM Classification Model
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5.1.4 Training a Naïve Bayes Model
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5.1.5 Training Classification Decision Trees and Ensemble Models
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6.1.1 Training a Linear Regression Model
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6.1.2 Training Regression Trees and Ensemble Models
Unattempted
6.1.3 Tuning Regression Models
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6.2.1 Evaluating Regression Models
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7.1.2 Training a k-Means Clustering Model
Unattempted
7.1.3 Training a Hierarchical Clustering Model
Unattempted
7.1.4 Tuning Clustering Models
Unattempted
7.2.1 Evaluating Clustering Models
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8.3.1 Building an ML Pipeline
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2.1.1. Reading Data from a CSV File
Reading Data from a CSV File
Unattempted
2.1.2. Extracting Data with Database Queries
Extracting Data with Database Queries
Unattempted
2.1.3. Consolidating Data from Multiple Sources
Consolidating Data from Multiple Sources
Unattempted
2.1.4. Handling Irregular and Unusable Data
Handling Irregular and Unusable Data
Unattempted
2.2.1. Correcting Data Formats
Correcting Data Formats
Unattempted
2.2.2. De-duplicating Data
De-duplicating Data
Unattempted
2.2.3. Handling Textual Data
Handling Textual Data
Unattempted
2.3.1. Loading Data into a Database
Loading Data into a Database
Unattempted
2.3.2. Loading Data into a DataFrame
Loading Data into a DataFrame
Unattempted
2.3.3. Exporting Data to a CSV File
Exporting Data to a CSV File
Unattempted
3.1.1. Examining Data
Examining Data
Unattempted
3.2.1. Exploring the Underlying Distribution of Data
Exploring the Underlying Distribution of Data
Unattempted
3.2.2. Analyzing Data Using Histograms
Analyzing Data Using Histograms
Unattempted
3.3.1. Analyzing Data Using Box Plots and Violin Plots
Analyzing Data Using Box Plots and Violin Plots
Unattempted
3.3.2. Analyzing Data Using Scatter Plots and Line Plots
Analyzing Data Using Scatter Plots and Line Plots
Unattempted
3.3.3. Analyzing Data Using Bar Charts
Analyzing Data Using Bar Charts
Unattempted
3.3.4. Analyzing Data Using HeatMaps
Analyzing Data Using HeatMaps
Unattempted
3.3.5. Handling Missing Values
Handling Missing Values
Unattempted
3.4.1. Applying Transformation Functions to a Dataset
Applying Transformation Functions to a Dataset
Unattempted
3.4.2. Encoding Data
Encoding Data
Unattempted
3.4.3. Discretizing Variable
Discretizing Variable
Unattempted
3.4.4. Splitting and Removing Features
Splitting and Removing Features
Unattempted
3.4.5. Performing Dimensionality Reduction
Performing Dimensionality Reduction
Unattempted
5.1.1. Training a Logistic Regression Model
Training a Logistic Regression Model
Unattempted
5.1.2. Training a k-NN Model
Training a k-NN Model
Unattempted
5.1.3. Training an SVM Classification Model
Training an SVM Classification Model
Unattempted
5.1.4. Training a Naïve Bayes Model
Training a Naïve Bayes Model
Unattempted
5.1.5. Training Classification Decision Trees and Ensemble Models
Training Classification Decision Trees and Ensemble Models
Unattempted
6.1.1. Training a Linear Regression Model
Training a Linear Regression Model
Unattempted
6.1.2. Training Regression Trees and Ensemble Models
Training Regression Trees and Ensemble Models
Unattempted
6.1.3. Tuning Regression Models
Tuning Regression Models
Unattempted
6.2.1. Evaluating Regression Models
Evaluating Regression Models
Unattempted
7.1.2. Training a k-Means Clustering Model
Training a k-Means Clustering Model
Unattempted
7.1.3. Training a Hierarchical Clustering Model
Training a Hierarchical Clustering Model
Unattempted
7.1.4. Tuning Clustering Models
Tuning Clustering Models
Unattempted
7.2.1. Evaluating Clustering Models
Evaluating Clustering Models
Unattempted
8.3.1. Building an ML Pipeline
Building an ML Pipeline
Unattempted
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