Certificate in Artificial Intelligence
Curriculum
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Introduction
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Libraries
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Numpys
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Pandas
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Data Frame
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Sci-kit
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Exploratory Data Analytics using Python (EDA)
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Data Wrangling
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Data Visualization
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Matplotlib
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Seaborn
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Hypothesis Testing
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Machine Learning
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Regression
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Simple Linear Regression
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Logistic Regression
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Multiple Linear Regression
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Polynomial Regression
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Decision Tree Regression
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Evaluating Regression Model Parameters Classification
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K Nearest Neighbors ( KNN )
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Evaluating Regression Model Parameters Classification
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K Nearest Neighbors ( KNN )
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Naive Bayes Classifier
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Decision Tree Algorithm
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Random Forest Algorithm, SVM
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Unsupervised Machine Learning –
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Introduction To Clustering Algorithms
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K-Means Clustering
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Elbow Method for the optimal value of k in K-Means
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Hierarchical Clustering
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Deep Learning and AI
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Introduction
- Libraries
- Numpys
- Pandas
- Data Frame
- Sci-kit
- Exploratory Data Analytics using Python (EDA)
- Data Wrangling
- Data Visualization
- Matplotlib
- Seaborn
- Hypothesis Testing
- Machine Learning
- Regression
- Simple Linear Regression
- Logistic Regression
- Multiple Linear Regression
- Polynomial Regression
- Decision Tree Regression
- Evaluating Regression Model Parameters Classification
- K Nearest Neighbors ( KNN )
- Evaluating Regression Model Parameters Classification
- K Nearest Neighbors ( KNN )
- Naive Bayes Classifier
- Decision Tree Algorithm
- Random Forest Algorithm, SVM
- Unsupervised Machine Learning –
- Introduction To Clustering Algorithms
- K-Means Clustering
- Elbow Method for the optimal value of k in K-Means
- Hierarchical Clustering
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Deep Learning and AI
Overview
Certification
LET'S TALKFeel Free to Speak With Our Executive
Certification
LET'S TALK
Feel Free to Speak With Our Executive
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