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Machine Learning & Artificial Intelligence Projects with Python (5.2)

Machine Learning & Artificial Intelligence Projects with Python (5.2)

Machine Learning & Artificial Intelligence Projects with Python (5.2) We Will Learn Advanced Data Science and Machine Learning Methods With Real Life Problems Applied - 2020

What you'll learn

  • Using the KNN Algorithm and Component Analysis methods such as PCA-NCA, we will learn how to make cancer classification over the Wisconsin Breast Cancer data set.
  • Using the Recurrent Neural Network, we will learn how to do Emotion Analysis over the IMDB Movie Review dataset.
  • Using Averaging Models, XGBoost, ElasticNet, Lasso and Ridge Regression Algorithms, we will examine the fuel consumption of vehicles over the Auto-MPG data set.
  • We will develop the Ensemble Learning (Community Learning - Collaboration) project using supporting Vector Machines (SVM), Decision Trees, Random Forest, Voting Classifier and Boosting algorithms.
  • During this course, we will write 1000 lines of code together using Python with Advanced Machine Learning and Deep Learning Algorithms.

Description

MACHINE LEARNING (ML) & ARTIFICIAL INTELLIGENCE (AI) PROJECTS WITH PYTHON

  • In the Machine Learning & Artificial Intelligence (AI) Projects course with Python, we will learn advanced Artificial Intelligence algorithms with 4 different projects.

Machine Learning & Artificial Intelligence Projects Course Content:

  • Artificial Intelligence Projects Introduction
  • Introduction Installations
  • Udemy Promotion
  • Datai Team: Github and Resources
  • Additional Resource: Articles & Useful Links

Project 1: Breast Cancer Classification

  • Project 1 Introduction
  • Data Set and Problem Presentation
  • Data Set Upload
  • Exploratory Data Science
  • Outlier Detection: Local Outlier Factor Method
  • Detection and Removal of Outliers
  • Separating the Data Set as Training and Test Data Set
  • What is Standardization K-Nearest Neighbors (KNN)?
  • Finding the Best Parameters of KNN
  • What is Principal Component Analysis (PCA)?
  • Principal Component Analysis (PCA)
  • Application and Evaluation of Results
  • Neighborhood Components Analysis (NCA) Application and Evaluation of Results
  • Evaluation of Test Result
  • Project 1 Results and Homework

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