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This course will nurture and transform you into a highly-skilled professional with an in-depth knowledge of various algorithms and techniques, such as regression, classification, supervised and unsupervised learning, Natural Language Processing, etc
Invictus Engineers’ ML training also equips you with Python programming language, a core to predicting things from data
Choosing the Right ML Algorithm for the requirement
Tables of Data
Features Matrix and Target Matrix
Types of Clustering
Applications of Clustering in different fields
Steps for Understanding the Dataset
Loading the Dataset
Deeper look into k-means Algorithm
Setting the Number of Clusters
Deeper look into Mean-Shift Algorithm
Deeper look into DBSCAN Algorithm
Available Metrics for Evaluating in Scikit-Learn
Data Partitioning: Dividing data into subsets
Clarifying the Split Ratio
Bias, Variance, and Data Mismatch
Understanding the Dataset
How Naive Bayes Algorithm Work?
How Decision Tree Algorithm Work?
How SVM Algorithm Work?
Accuracy, Precision, and Recall
Scikit-Learn’s Multilayer Perceptron