Complete Data Science & Machine Learning Bootcamp in Python

Learn Python,NumPy,Pandas,Matplotlib,Seaborn,Scikit-learn,Dask,LightGBM,XGBoost,CatBoost,Streamlit,Power BI & much more
4.25 (81 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Complete Data Science & Machine Learning Bootcamp in Python
890
students
18 hours
content
Oct 2022
last update
$29.99
regular price

Why take this course?

🌟 Complete Data Science & Machine Learning Bootcamp in Python 🌟

Unlock the Secrets of Data with Python!
🚀 Course Title: Complete Data Science & Machine Learning Bootcamp in Python
🌍 Instructor: Derrick Mwiti
📚 Course Description:

Obtain skills in one of the most sought-after fields of this century Welcome to a comprehensive journey into the world of Data Science, Machine Learning, and Deep Learning. This course is meticulously designed for beginners and intermediates alike, offering a step-by-step guide through the intricacies of data analysis using Python. No prior knowledge in programming is required; we'll cover all the fundamentals you need to get started. What You Will Learn:

  • The Data Science Process: Understand the lifecycle of a data science project from problem definition to solution deployment.
  • Python for Data Science: Master Python, the language that powers 80% of data science roles.
  • NumPy for Numerical Computation: Learn how to perform large-scale numerical computations with efficiency and ease.
  • Pandas for Data Manipulation: Gain proficiency in manipulating and analyzing dataframes with Pandas.
  • Matplotlib for Visualization: Create static, informative visualizations to communicate your findings effectively.
  • Seaborn for Beautiful Visuals: Generate sophisticated data visualizations with less code using Seaborn.
  • Plotly for Interactive Visuals: Engage your audience with interactive plots and dashboards.
  • Introduction to Machine Learning: Discover the fundamentals of machine learning algorithms and their applications.
  • Dask for Big Data: Handle large datasets efficiently and learn how Dask can be used as a parallel import of Pandas, NumPy, and more.
  • Power BI Desktop: Turn data into insights with Power BI's business analytics tools.
  • Google Data Studio: Share your data stories and dashboards across the web.
  • Association Rule Mining - Apriori: Explore market basket analysis and other applications of association rule learning.
  • Deep Learning: Dive into the world of neural networks and understand the fundamentals behind deep learning.
  • Apache Spark for Big Data: Learn how to use Apache Spark to distribute data processing across clusters of computers.

In the machine learning section, you will:

  • Understand How Algorithms Work: Gain insights into the inner workings of various algorithms.
  • Learn About Advantages & Disadvantages of Various Algorithms: Make informed decisions about which algorithm to use in different scenarios.
  • Explore Feature Importances: Understand the significance of features in your model's predictions.
  • Master Metrics: Learn how to evaluate models accurately.
  • Understand Cross-Validation: Master the technique to assess how the results of a statistical analysis will generalize to an independent dataset.
  • Learn to Fight Overfitting: Discover strategies to prevent your model from overfitting to training data.
  • Master Hyperparameter Tuning: Optimize the parameters that control the learning process
  • Handle Imbalanced Data: Learn techniques to deal with datasets where the class distribution is skewed.
  • Explore TensorFlow & Keras: Build and train neural networks using these powerful frameworks.
  • Dive into Automated Machine Learning (AutoML): Leverage tools that automate the process of applying machine learning to real-world problems.
  • Explore Natural Language Processing (NLP): Analyze and manipulate human language by computer.

Hands-On Learning:
This course is packed with exercises and solutions that will enable you to apply what you've learned in real-world scenarios. You'll get hands-on experience with Python, libraries, and tools that are essential for any data science professional. Enrollment Benefits:

  • Lifetime Access: Enroll in this course and have lifetime access to all the videos and Notebooks.
  • 30-Day Money-Back Guarantee: Try the course at no risk. If you're not satisfied within 30 days, we offer a full refund.

Join the Data Science Revolution:
Embark on your data science journey today and transform your career with the skills that are in high demand across industries. With this comprehensive course, you'll be well-equipped to tackle complex problems and derive actionable insights from data. 🎓 Ready to Dive Into Data Science? Sign Up Now and Begin Your Transformation into a Data Science Expert!
Let's decode the data together! 🔍✨

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3240770
udemy ID
16/06/2020
course created date
23/06/2020
course indexed date
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