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This video on Data Science algorithms will help you learn some of the essential data science algorithms used by data scientists to work on complex tasks. You will implement these algorithms using Python and R. These algorithms use supervised and unsupervised learning methods to train models.
Below are the topics covered in this Data Science Algorithms Full Course video:
00:00:00 Logistic regression
00:19:37 Decision tree
01:28:14 Clustering Algorithm
02:09:54 SVM Algorithm
02:28:03 K-Means Clustering
02:54:30 Naive Bayes Classifiers
04:25:35 Time series analysis
Below Data Science algorithms are explained in this tutorial:
logistic Regression
Types of Regression
Decision Tree
What is Random forest
Clustering Algorithm
Divisive Clustering
Support Vector Machine in R
K-Nearest Neighbors Algorithm
K-Means Clustering
Time-series Analysis
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This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.
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✅ Skills Covered
- Exploratory Data Analysis
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- Supervised and Unsupervised Learning
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