## 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.

## Table of Contents

**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.

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