Complete A.I. & Machine Learning, Data Science Bootcamp

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$12.99 Coupon code for Complete A.I. & Machine Learning, Data Science Bootcamp Udemy Course. This is an exclusive discount coupon from the course instructor, it will be active for few days. Check ENROLL NOW button to get a maximum discount. We manually verified coupon code on February 5th, 2024 .

What you’ll learn

  • 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 datasets using data visualization tools like Matplotlib and Seaborn
  • Explore large datasets 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
  • Learn to use the popular library Scikit-learn in your projects
  • Learn about Data Engineering and how tools like Hadoop, Spark and Kafka are used in the industry
  • Learn to perform Classification and Regression modelling
  • Learn how to apply Transfer Learning

The topics covered in this course are:

  • – 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

Who this course is for:

  • 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
  • Anyone who wants to learn these topics from industry experts that don’t only teach, but have actually worked in the field
  • You’re looking for one single course to teach you about Machine learning and Data Science and get you caught up to speed with the industry
  • You 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”
  • You 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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