Machine Learning Fundamentals
3.8 (2 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
8 students enrolled

Machine Learning Fundamentals

Launch your career with a Machine Learning Certificate, Build ml models using Python.
3.8 (2 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
8 students enrolled
Last updated 4/2020
English
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Current price: $13.99 Original price: $19.99 Discount: 30% off
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This course includes
  • 2.5 hours on-demand video
  • 1 article
  • 2 Practice Tests
  • 3 coding exercises
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
  • Certificate of Completion
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What you'll learn
  • Develop ML models, Programs with the ability to learn and reason like humans
  • Analyse Data, understand which Algorithm or open-source library to use for any given Dataset
Requirements
  • Basic Computer science
Description

This course provides a broad introduction to Machine learning, Deep Learning, Artificial Neural Networks, and also strategies, techniques needed to build the best machine learning models. The course starts with Introduction to python programming, Data structures, and python for Machine learning. Learn to use Regression, Classification models on a wide variety of datasets Available at Kaggle. Learn to built neural networks for classification for image datasets, learn to use pre-trained models to make predictions, Also, learn how Neural networks can outperform human ability using TensorFlow.

Who this course is for:
  • Beginners & Machine learning Enthusiast
Course content
Expand all 44 lectures 02:48:31
+ Introduction, Python For Machine Learning
10 lectures 36:44
Building Water Bottle Detector Application
05:55
Basics for Machine learning
5 questions
Build an image classifier by feeding data into your model using a webcam or publically available dataset online, Data can include: 1.Everyday Objects 2.Medical data 3.Celestial data. Note: Read the understand license for using a dataset publically available!
Building first Machine learning project using teachable machines!
1 question
Deeper Look: Teachable Machines
01:25
[Insights] Learning Process
01:08
Introduction to Python, kaggle
04:20
Print statements & creating Variables in python
04:24
Print Hello world!
1 question
Data Types, String Functions
06:02
Loading Datasets, Reading Files in python
03:17
Python basics
1 question

Use Kaggle kernels to understand how we can use python, from printing a simple hello world to reading files and images. use the published kernels if you get stuck at some point, play around with other datasets to understand things in a better way!

Python for Machine Learning practice test one !
6 questions
+ Studying Different Learning models
20 lectures 01:24:36
Code For Traditional Computer Programming vs Machine Learning
02:28
Python code for Writing a function to compute y = 2x+4x^2 given value for x !
1 question
Types Of Learning
04:41
Linear Regresssion
02:47
Linear Regression House Price Dataset
02:05
Linear Regression (Learning Algorithm)
05:05
Plot a Regression Line
05:11
Multi-Linear Regression
02:05

Use the knowledge gained from the above lectures to make learning models using linear regression

Regression Practice
5 questions
Introduction to Classification
02:20
Logistic Regression
08:07
Decision Trees
05:49
Naive Bayes Classifier
03:24
Support Vector Machines
02:02
KNeighbors Classifier
02:38
Comparing Classifiers Using Insurance Claim Dataset
04:42
Binary classification, compare machine learning algorithms ensuring that each algorithm is evaluated in the same way on the same data. Logistic Regression Linear Discriminant Analysis K-Nearest Neighbors Classification and Regression Trees Naive Bayes Support Vector Machines
Find the Best model for loan dataset!
1 question
Random Forest Classifier
07:26

Test your knowledge about different Machine learning Algorithms!

Basic Regression and classification models
3 questions
Deploy Machine learning Model Flask intro
05:29
Heart Disease Prediction System using Flask
06:26
+ Deep Learning
14 lectures 47:10
An Introduction To Deep Learning
04:05
Deep Learning vs Machine Learning
00:52
Deep Learning With Titanic Dataset
04:33
build a simple deep learning model with Keras
Deep learning Practice
1 question
Building Your First Neural Network
02:32
Math For Deep Learning
03:57
Steps For Building DL Models
05:38
Image Input In Neural Nets
00:57

Check out you are all set with concepts in deep learning and how is it different from machine learning

Deep learning Quiz
5 questions
Introduction To Conv-Nets
01:01
Exploring Fashion MNIST In Colab Example
05:36
Cat Dog Classifier With Tensorflow
05:24
Using Pre trained Models to Make predictions
03:07
Classification beyond human Capabilities
04:43