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Mammoth Club All levels 22 sections 160 lectures

Build Deep Learning for Biology from Scratch in Python and TensorFlow

Learn how to snag the most in demand role in the tech field today!

01
Skill level
All levels
02
Sections
22
03
Lectures
160
04
Instructor
John Bura
What's inside

This course includes.

22
Sections
160
Lectures
159
Resources
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

14 sections · 73 lectures
+ 01 Course Overview 4 lectures
00 Course Overview - Machine Learning For Biology Preview Free preview
01 What You'll Need Locked
Source files - Course overview Locked
Extra Reading Lectures Locked
+ 02 Regression Fundamentals - Theory Behind the Code 4 lectures
00 Regression Introduction Locked
01 What Is Regression Locked
02 What Is Linear Regression Locked
Source files Locked
+ 03 Build a K Nearest neighbors regression model to predict diabetes 5 lectures
00 Project Preview Locked
01 Load And Analyze Data Locked
02 What Is K Nearest Neighbours Locked
03 Build A K Nearest Neighbors Regression Model To Predict Diabetes Locked
Source files Locked
+ 04 Build Regression Machine Learning Models to Detect Diabetes 5 lectures
00 Build More Regression Models And Find The Best One Locked
01 What Is The Random Forest Classifier Model Locked
02 Select Top Features Via Variance Threshold Locked
03 Visualize Linear Regression With Matplotlib Pyplot Locked
Source Files Locked
+ 05 Data analysis and transformation on blood cell data 7 lectures
00 Project Preview Locked
01 Load And Analyze Blood Cell Data Locked
02 Clean Data With Missing Values Locked
03 Process Data For Machine Learning Locked
04A What Is Principal Component Analysis Locked
04B Reduce Data Dimensionality With Principal Component Analysis Locked
Source Files Locked
+ 06 Cluster blood cells based on fluorescent intensities 5 lectures
00 What Is Unsupervised Learning Locked
01 What Is K Means Clustering Locked
02 Build A Kmeans Clustering Model Locked
03 Visualize Clusters Found Via Kmeans Locked
Source files Locked
+ 07 Preprocess a malignant vs benign cancer mass dataset 4 lectures
00 Project Preview Locked
01 Load And Analyze Cancer Dataset Locked
02 Preprocess Cancer Data For Machine Learning Locked
Source files Locked
+ 08 Build an SVM model to classify malignant vs benign cancer mass 7 lectures
00 Why Do We Need SVM Locked
01 How Does SVM Work Locked
02 SVM On Non-Linear Data Locked
03 What Are SVM Kernels Locked
04 What Is The Precision-Recall Score Locked
05 Build An SVM Model To Classify Malignant Vs Benign Mass Locked
Source Files Locked
+ 09 Build a logistic regression model to classify malignant vs benign cancer mass 3 lectures
00 What Is Logistic Regression Locked
01 Build A Logistic Regression Model Locked
Source files Locked
+ 10 Improve model accuracy with tuning methods 9 lectures
01A What Is Cross Validation Locked
01B Find Model Error With Cross Validation Locked
02A What Is Grid Search Cross Validation Locked
02B Find Optimal Hyperparameters With Grid Search Locked
03A What Is Nested Cross Validation Locked
03B Find Best Model Parameters With Nested Cross Validation Locked
04A What Is The Decision Tree Model Locked
04B Compare Models With Nested Cross Validation Locked
Source Files Locked
+ 11 Prepare heart disease data for machine learning 4 lectures
01 Load Data Via Data File Locked
02 Clean And Preprocess Heart Disease Data For Machine Learning Locked
03 Process Heart Disease Data For Machine Learning Locked
Source Files Locked
+ 12 Predict heart disease with machine learning 6 lectures
00 What Is Stochastic Gradient Descent Locked
01 Build A Linear Classifier With Stochastic Gradient Descent Locked
02 What Is AdaBoost Locked
03 Build An Ada Boost Classifier Locked
04 Build A K Nearest Neighbors Machine Learning Model Locked
Source Files Locked
+ 13 Deep learning and neural networks introduction 3 lectures
00 What Is Deep Learning Locked
01 What Is A Neural Network Locked
Source files Locked
+ 14 Build a neural network to find malaria in cells 7 lectures
00 Project Preview Locked
01 Load Data Via Tensorflow Locked
02 Visualize Malaria Cell Images Locked
03 Extract A Subset Of Samples Locked
04 Build A Neural Network Locked
05 Train And Evaluate Model Accuracy Locked
Source Files Locked
Description

About this course.

Welcome to the Machine Learning and Deep Learning for Biology course! In this comprehensive program, you will embark on a journey to explore the fascinating intersection of biology and cutting-edge technologies like Python and TensorFlow.

Throughout the course, you will learn how to apply machine learning and deep learning techniques to solve complex problems in the field of biology. You will discover the power of Python programming language and TensorFlow framework, which are widely used in the tech industry for developing intelligent systems.

This course is designed to equip you with the skills and knowledge needed to excel in the rapidly growing field of bioinformatics. You will delve into topics such as data preprocessing, feature engineering, model building, and evaluation, all tailored specifically for biological applications.

By the end of the course, you will have a deep understanding of the core concepts and techniques in machine learning and deep learning. You will have hands-on experience in developing models that can analyze biological data, make predictions, and unlock valuable insights.

Whether you are a biologist, bioinformatician, or someone with a keen interest in the intersection of biology and technology, this course will provide you with the necessary tools to thrive in the tech field. Prepare to enhance your Python and TensorFlow skills, and embark on an exciting journey into the world of machine learning and deep learning for biology.

Don't miss this opportunity to snag one of the most in-demand roles in the tech industry today. Enroll now and unlock the potential of machine learning and deep learning in the field of biology!


Instructors

Taught by people who ship.

John Bura

John Bura

Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.

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