Mısra Turp

Making Your Project Presentable: Last Touches for an Impressive Portfolio

Bonus lesson: Turning a Regression Problem into a Classification Problem

Is your model actually that good? Validating Machine Learning Models

Improve Machine Learning Model Performance with Tuning

Step-by-Step Preparing and Training a Machine Learning Model

Feature Engineering: Integrate a new data source into your dataset

Feature Engineering: Create new features using existing data

The Basics of Evaluating Machine Learning Projects

How to Train a Benchmark Model for your Machine Learning Project

Problem Definition and Data Preparation for a Real-Life Data Science Project

Extract Hour, Day, Month Info from Pandas DateTime

Fixing Incorrect Column Types in Pandas to Prepare Data for ML

Data Cleaning after Identifying Data Problems in Pandas

Data Exploration: Identifying Data Issues and Their Potential Causes

Using Data Visualization to Identify Data Problems

How Collecting Data Works on a Real-Life Data Science Project

Creating a GitHub Repository for a Data Science Project

Introduction to Jupyter Notebooks: explore the main functionalities

How to Set up a Data Science Development Environment

Hands-on Data Science course: Let's build a project together from scratch!

Python or R: Data Professor answers!

Starting out on YouTube: why the Data Professor got into the YT business

It only takes 2 minutes to master your tasklist. Productivity tips from @DataProfessor

Key Concepts and Techniques for Natural Language Processing

How are training and tuning different?

Python vs. R comparison (by a die-hard Python fan)

Data Visualization Libraries For Python

Splitting the data into training, testing and validation datasets

Why do we split data into train test and validation sets?

How to fix missing values in data - Part 2

Fixing missing values in data - Part 1

How to fix missing values in your data

What is one-hot encoding?

Quick explanation: One-hot encoding

CNN follow along calculations

Basics of Convolutional Neural Networks

How to Implement CNNs in Keras

Basics of Recurrent Neural Networks

LSTMs and GRUs

How to Implement RNNs in Keras

Training a Network for Better Performance

How to Tune a Neural Network

How to Understand What's Wrong with a Neural Network

Advanced Methods for Hyperparameter Tuning

Simple Methods for Hyperparameter Tuning

Tuning a Neural Network | Deciding on next steps to take

What is the Optimal Performance of a Neural Network?

How to Decide Whether Your Neural Network is Doing Well

How to Evaluate a Neural Network's Performance

Part 2: Best Settings to Initialize Your NN with