Complete Machine Learning & Data Science Bootcamp 2023

Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!

In this course complete machine learning and data science a to z free video course, Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with TensorFlow, Pandas & more! Learn Complete Machine Learning and Data Science A to Z Free Video Course Download.

what you will learn in the course:

  • Become a Data Scientist and get hired
  • Master Machine Learning and use it on the job
  • Deep Learning, Transfer Learning and Neural Networks using the latest TensorFlow 2.0
  • Use modern tools that big tech companies like Google, Apple, Amazon and Facebook use
  • Present Data Science projects to management and stakeholders
  • Learn which Machine Learning model to choose for each type of problem
  • Real life case studies and projects to understand how things are done in the real world
  • Learn best practices when it comes to Data Science Workflow
  • Implement Machine Learning algorithms
  • Learn how to program in Python using the latest Python 3
  • How to improve your Machine Learning Models
  • Learn to pre process data, clean data, and analyze large data.
  • Build a portfolio of work to have on your resume
  • Developer Environment setup for Data Science and Machine Learning
  • Supervised and Unsupervised Learning
  • Machine Learning on Time Series data
  • Explore large data sets using data visualization tools like Matplotlib and Seaborn
  • Explore large data sets and wrangle data using Pandas
  • Learn NumPy and how it is used in Machine Learning
  • A portfolio of Data Science and Machine Learning projects to apply for jobs in the industry with all code and notebooks provided
  • Use the popular library Scikit-learn in your projects
  • About Data Engineering and how tools like Hadoop, Spark and Kafka are used in the industry
  • Learn to perform Classification and Regression modelling
  • How to apply Transfer Learning

The topics covered in this whole course are:

Learn ML & Data Science with Python free Course

Learn Complete Machine Learning and Data Science A to Z Free Video Course

  • Data Exploration and Visualizations
  • Neural Networks and Deep Learning
  • Model Evaluation and Analysis
  • Python 3
  • TensorFlow 2.0
  • Numpy
  • Scikit-Learn
  • Data Science and Machine Learning Projects and Workflows
  • Data Visualization in Python with MatPlotLib and Seaborn
  • Transfer Learning
  • Image recognition and classification
  • Train/Test and cross validation
  • Supervised Learning: Classification, Regression and Time Series
  • Decision Trees and Random Forests
  • Ensemble Learning
  • Hyperparameter Tuning
  • Using Pandas Data Frames to solve complex tasks
  • Use Pandas to handle CSV Files
  • Deep Learning / Neural Networks with TensorFlow 2.0 and Keras
  • Using Kaggle and entering Machine Learning competitions
  • How to present your findings and impress your boss
  • How to clean and prepare your data for analysis
  • K Nearest Neighbours
  • Support Vector Machines
  • Regression analysis (Linear Regression/Polynomial Regression)
  • How Hadoop, Apache Spark, Kafka, and Apache Flink are used
  • Setting up your environment with Conda, MiniConda, and Jupyter Notebooks
  • Using GPUs with Google Colab

Short Overview of Course content:

Learn Complete Machine Learning and Data Science Tutorials For Free

  • Machine Learning and Data Science Framework
  • Data Science Environment Setup
  • Pandas: Data Analysis
  • NumPy
  • Matplotlib: Plotting and Data Visualization
  • Scikit-learn: Creating Machine Learning Models
  • Supervised Learning: Classification + Regression
  • Milestone Project : Supervised Learning (Classification) & (Time Series Data)
  • Data Engineering
  • Neural Networks: Deep Learning, Transfer Learning and TensorFlow 2
  • Storytelling + Communication: How To Present Your Work
  • Career Advice + Extra Bits
  • Learn Python
  • Finally Learn Advanced Statistics and Mathematics for FREE!.

Requirements for the course:

  • No prior experience is needed (not even Math and Statistics). We start from the very basics.
  • A computer (Linux/Windows/Mac) with internet connection.
  • Two paths for those that know programming and those that don’t.
  • All tools used in this course are free for you to use.

Who is the audience for the course:

  • Anyone with zero experience (or beginner/junior) who wants to learn Machine Learning, Data Science and Python
  • You are a programmer that wants to extend their skills into Data Science and Machine Learning to make yourself more valuable
  • Who wants to learn these topics from industry experts that don’t only teach, but have actually worked in the field
  • Who looking for one single course to teach you about Machine learning and Data Science and get you caught up to speed with the industry
  • Want to learn the fundamentals and be able to truly understand the topics instead of just watching somebody code on your screen for hours without really “getting it”
  • Want to learn to use Deep learning and Neural Networks with your projects
  • You want to add value to your own business or company you work for, by using powerful Machine Learning tools.

Now! you can download Learn Complete Machine Learning and Data Science A to Z Free Video Course2020 Tutorials For Free by clicking below download button, If you have a any question so! comment now!..

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