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Complete Data Science & Machine Learning Bootcamp in Python

Complete Data Science & Machine Learning Bootcamp in Python

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

What you'll learn

  • Python for Data Science
  • The Data Science Process
  • NumPy for Numerical Computation
  • Pandas for Data Manipulation
  • Matplotlib for Visualization
  • Seaborn for Beautiful Visuals
  • Plotly for Interactive Visuals
  • Introduction to Machine Learning
  • Dask for Big Data
  • LightGBM
  • XGBoost
  • CatBoost
  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Random Forest
  • Deep Learning using Keras and TensorFlow
  • Artificial Neural Networks
  • Convolutional Neural Networks
  • Natural Language Processing
  • Support Vector Machines
  • KNearest Neighbors
  • Statistical Testing
  • K-Means Clustering
  • Principal Component Analysis
  • Association Rule Mining - Apriori
  • Building Dashboards in Power BI
  • Data Science Applications with Dash
  • Apache Spark in Python
  • Google Data Studio

Description

Obtain skills in one of the most sort after fields of this century

In this course, you'll learn how to get started in data science. You don't need any prior knowledge in programming. We'll teach you the Python basics you need to get started.  Here are some of the items we will cover in this course

  • The Data Science Process
  • Python for Data Science
  • NumPy for Numerical Computation
  • Pandas for Data Manipulation
  • Matplotlib for Visualization
  • Seaborn for Beautiful Visuals
  • Plotly for Interactive Visuals
  • Introduction to Machine Learning
  • Dask for Big Data
  • Power BI Desktop
  • Google Data Studio
  • Association Rule Mining - Apriori
  • Deep Learning
  • Apache Spark for Handling Big Data

For the machine learning section here are some items we'll cover :

  • How Algorithms Work
  • Advantages & Disadvantages of Various Algorithms
  • Feature Importances
  • Metrics
  • Cross-Validation
  • Fighting Overfitting
  • Hyperparameter Tuning
  • Handling Imbalanced Data
  • TensorFlow & Keras
  • Automated Machine Learning(AutoML)
  • Natural Language Processing

The course also contains exercises and solutions that will help you practice what you have learned.

By enrolling in this course, you'll have lifetime access to the videos and Notebooks. Purchasing the course also comes with a 30-day money-back guarantee, so you can try it at no risk at all.

Let's now add Data Science, Machine Learning, and Deep Learning to your CV. See you inside the course.

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