Cancer Genomics - Neural Networks vs k-NN Classifiers

Cancer Genomics | Neural Networks vs k-NN Classifiers, available at Free, has an average rating of 4.4, with 7 lectures, based on 53 reviews, and has 1281 subscribers.

You will learn about Use Anaconda IDE Use Jupyter IDE Machine Learning Cancer Genomics k-NN Classifier Neural Networks Deep Learning mglearn Library for Visualization This course is ideal for individuals who are Aspired Data Scientist or Python Programmers interested in Cancer Genomics It is particularly useful for Aspired Data Scientist or Python Programmers interested in Cancer Genomics.

Enroll now: Cancer Genomics | Neural Networks vs k-NN Classifiers

Summary

Title: Cancer Genomics | Neural Networks vs k-NN Classifiers

Price: Free

Average Rating: 4.4

Number of Lectures: 7

Number of Published Lectures: 7

Number of Curriculum Items: 7

Number of Published Curriculum Objects: 7

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Use Anaconda IDE

Use Jupyter IDE

Machine Learning

Cancer Genomics

k-NN Classifier

Neural Networks

Deep Learning

mglearn Library for Visualization

Who Should Attend

Aspired Data Scientist

Python Programmers interested in Cancer Genomics

Target Audiences

Aspired Data Scientist

Python Programmers interested in Cancer Genomics

Cancer Genomics | Neural Networks vs k-NN Classifiers :?Machine Learning for Python Hackers is a crash course in Data Science and Cancer Genomics for anyone interested in cancer research. The course starts out with?loading up a?cancer dataset to split train and test. This course is unique in Data Science in that it uses the mglearn library for better visualization and is dedicated to providing details as such so the student can follow along with no ambiguity.

k-NN Classifications with detailed visualization

Neural Network built from scratch with line by line explanation and visualization!

Build a GC??:Content Calculator!?

Course Curriculum

Chapter 1: Introduction to Cancer Genomics

Lecture 1: Introduction

Chapter 2: KNN CLASSIFIERS

Lecture 1: k-NN Classification 1

Lecture 2: k-NN Classification 2

Chapter 3: NEURAL NETWORKS

Lecture 1: Neural Nets Part 1

Lecture 2: Neural Nets Part 2

Chapter 4: CANCER GENOMICS

Lecture 1: Hacking Cancer DNA: 1 of 2

Lecture 2: Hacking Cancer DNA: 2 | Guanine/Cytosine : Ratio, (G/C:Counts)

Instructors

Brian Rouse
Data Scientist / iOS Instructor

Rating Distribution

1 stars: 7 votes

2 stars: 6 votes

3 stars: 13 votes

4 stars: 11 votes

5 stars: 16 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!