Build powerful Machine Learning models using Python with hands-on practical examples in just a week
About This Video
A good understanding of Machine learning to start creating practical solutions.
Get an intuitive understanding of many machine learning algorithms
Build many different Machine Learning models and learn to combine them to solve problems
In Detail
Machine learning is one of the most sought-after skills in the market. But have you ever …
Python Machine Learning in 7 Days
Video description
Build powerful Machine Learning models using Python with hands-on practical examples in just a week
About This Video
A good understanding of Machine learning to start creating practical solutions.
Get an intuitive understanding of many machine learning algorithms
Build many different Machine Learning models and learn to combine them to solve problems
In Detail
Machine learning is one of the most sought-after skills in the market. But have you ever wondered where to start or found the course not so easy to follow. With this hands-on and practical machine learning course, you can learn and start applying machine learning in less than a week without having to be an expert mathematician.
In this course, you will be introduced to a new machine learning aspect in each section followed by a practical assignment as a homework to help you in efficiently implement the learnings in a practical manner. With the systematic and fast-paced approach to this course, learn machine learning using Python in the most practical and structured way to develop machine learning projects in Python in a week.
This course is structured to unlock the potential of Python machine learning in the shortest amount of time. If you are looking to upgrade your machine learning skills using Python in the quickest possible time, then this course is for you!
This course uses Python 3.6 while not the latest version available, it provides relevant and informative content for legacy users of Python.
Audience
If you are interested in Machine Learning and have a basic understanding of python and looking to expand your Python skills in a quick time-frame.
Assignment – Train Your First Pre-built Machine Learning Model
Chapter 2 : Build Your First Predicting Model
Supervised Learning Algorithm
Architecture of a Machine Learning System
Machine Learning Model and Its Components
Linear Regression
Predicting Weight Using Linear Regression
Assignment – Predicting Energy Output of a Power Plant
Chapter 3 : Image Classification Using Supervised Learning
Review of Predicting Energy Output of a Power Plant
Logistic Regression
Classifying Images Using Logistic Regression
Support Vector Machines
Kernels in a SVM
Classifying Images Using Support Vector Machines
Assignment – Start Image Classifying Using Support Vector Machines
Chapter 4 : Improving Model Accuracy
Review of Classifying Images Using Support Vector Machines
Model Evaluation
Better Measures than Accuracy
Understanding the Results
Improving the Models
Assignment – Getting Better Test Sample Results by Measuring Model Performance
Chapter 5 : Finding Patterns and Structures in Unlabeled Data
Review of Getting Better Test Sample Results by Measuring Model Performance
Unsupervised Learning
Clustering
K-means Clustering
Determining the Number of Clusters
Assignment – Write Your Own Clustering Implementation for Customer Segmentation
Chapter 6 : Sentiment Analysis Using Neural Networks
Review of Clustering Customers Together
Why Neural Network
Parts of a Neural Network
Working of a Neural Network
Improving the Network
Assignment – Build a Sentiment Analyzer Based on Social Network Using ANN
Chapter 7 : Mastering Kaggle Titanic Competition Using Random Forest
Review of Building a Sentiment Analyser ANN
Decision Trees
Working of a Decision Tree
Techniques to Further Improve a Model
Random Forest as an Improved Machine Learning Approach
Weekend Task – Solving Titanic Problem Using Random Forest
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