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tutorials
data science
Data Science for Beginners is an introductory course that provides an overview of the field of data science, a multidisciplinary field that involves using techniques and tools to extract insights from data.
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Introduction to Machine Learning
Types of Machine Learning Model
Applications of Machine Learning
Data cleaning
Data Normalization
Exploratory Data Analysis (EDA)
Feature Engineering
Introduction to Supervised Learning
Regression
Classification
Linear Regression
Bias-Variance Tradeoff
Regularization Techniques
Metrics to Measure Regression Models
Logistic Regression
Decision Trees in ML
Ensembles of Decision Tree
Random Forest
AdaBoost
Gradient Boosting
XGBoost
Metrics for Classification Model
K-Nearest Neighbors(KNN)
Support Vector Machines (SVMs)
Naive Bayes
What is Unsupervised Learning
K-means Clustering
Hierarchical Clustering
Metrics for Unsupervised Learning
Introduction to MLOPS
Stakeholders and Terminologies Used in MLOPS