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Data ScienceMachine Learning

Data Science Tutorial 2024 - Learn Data Science for Free

8 Modules31 Articles434 Learners

This comprehensive data science tutorial will help you learn data science concepts, and fundamentals including statistics, programming, and machine learning.

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Welcome to the world of Data Science. Here, we uncover hidden insights in data to guide smarter choices. Learn Data Science to open doors to endless opportunities. In today's data-driven era, turning information into valuable insights is a game-changer.

AlmaBetter’s Data Science Tutorial for Beginners is an introductory course that provides an overview of the field of data science which includes modules such as Machine Learning, Supervised Learning, Unsupervised Learning, MLOPS, Regression and many more deep concepts of data science.

AlamBetter Tutorials are the best platform to learn data science from scratch. Our free Data Science Tutorial is the best way to learn data science online as it provides you the freedom to learn at your own pace and enjoy the learning to the fullest.

Modules Explored in Our Data Science Tutorial:

  • Getting Started with Machine Learning
  • Data preparation and EDA
  • Supervised Learning
  • Regression
  • Classification
  • Non-Linear Model
  • Unsupervised Learning
  • MLOPS

Course Curriculum

Module 1Getting Started with Machine Learning

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Introduction to Machine Learning

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Types of Machine Learning Model

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Applications of Machine Learning

Module 2Data preparation and EDA

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Data Cleaning in Data Science

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Data Normalization in Machine Learning

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Introduction to Exploratory Data Analysis (EDA)

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Feature Engineering for Machine Learning

Module 3Supervised Learning

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Introduction to Supervised Learning

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Regression in Machine Learning

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Classification in Data Science

Module 4Regression

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Linear Regression in Machine learning

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Understanding Bias Variance Tradeoff

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Regularization in Machine Learning

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Metrics to Measure Regression Models

Module 5Classification

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Logistic Regression in Machine Learning

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Decision Tree in Machine Learning

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Ensembles of Decision Trees

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Random Forest Algorithm in Machine Learning

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AdaBoost Algorithm in Machine Learning

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Gradient Boosting Algorithm for Machine Learning

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XGBoost Algorithm in Machine Learning

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Metrics for Classification Model

Module 6Non-Linear Model

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K-Nearest Neighbors(KNN)

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Support Vector Machines (SVMs)

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Naive Bayes Classifier

Module 7Unsupervised Learning

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What is Unsupervised Learning?

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K-means Clustering

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Hierarchical Clustering in Machine Learning

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Metrics for Unsupervised Learning

Module 8MLOPS

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What is MLOPS?

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Stakeholders and Terminologies Used in MLOPS

Summary

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