Machine Learning & Data Science in Python For Beginners

Get instant access to a 69-page Machine Learning workbook containing all the reference material Over 9 hours of clear and concise step-by-step instructions, practical lessons, and engagement Introduce yourself to our community of students in this course and tell us your goals Encouragement &amp; celebration of your progress: 25%, 50%, 75%, and then 100% when you get your certificate What will you get from doing this course?This course will help you develop Machine Learning skills for solving real-life problems in the new digital world. Machine Learning combines computer science and statistics to analyse raw real-time data, identify trends, and make predictions. You will explore key techniques and tools to build Machine Learning solutions for businesses. You don’t need to have any technical knowledge to learn these skills.What will you learn:What is Machine Learning Supervised Machine Learning Unsupervised Machine Learning Semi-Supervised Machine Learning Types of Supervised Learning: Classification Regression Types of Unsupervised Learning: Clustering Association Data Collection Data Preparing Selection of a Model Data Training and EvaluationHPT in Machine Learning Prediction in MLDPP in ML Need of DPP Steps in DPP Python Libraries Missing, Encoding, and Splitting Data in ML Python, Java, R,and C ++How to install python and anaconda?Interface of Jupyter Notebook Mathematics in Python Euler's Number and Variables Degree into Radians and Radians into Degrees in Python Printing Functions in Python Feature Scaling for ML<p