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Part 2: Best Settings to Initialize Your NN with
Normalizing data for better Neural Network performance
How to Evaluate a Neural Networks Performance
Simple Methods for Hyperparameter Tuning
How to Solve Vanishing Gradients in Keras and Python
How to select the correct optimizer for Neural Networks
Using Data Visualization to Identify Data Problems
Problem Definition and Data Preparation for a Real-Life Data Science Project
Quick explanation: One-hot encoding
Advanced Methods for Hyperparameter Tuning
Introduction to Jupyter Notebooks: explore the main functionalities
Why do we split data into train test and validation sets?
Deep learning fundamentals: What is regularization? Why does it work?
My 3 go-to places to find interesting real-life datasets
Data Exploration: Identifying Data Issues and Their Potential Causes
How to Animate Plots on Streamlit, Bring your Plots to Life!
Data Cleaning after Identifying Data Problems in Pandas
Pruning a neural Network for faster training times
How to Make Line Charts in Streamlit Using Plotly
How to Replace Values of Dataframes | Replace, Where, Mask, Update and More
How to fix missing values in your data
How to use the Pandas GroupBy function | Pandas tutorial
How to fix missing values in data - Part 2
Splitting the data into training, testing and validation datasets
How to Build a Streamlit App (Beginner level Streamlit tutorial) - Part 1
When Should You Use L1/L2 Regularization
How to Use Learning Rate Scheduling for Neural Network Training
What is one-hot encoding?
Python vs. R comparison (by a die-hard Python fan)
Basics of Convolutional Neural Networks
How to Set up a Data Science Development Environment
How to Reshape Dataframes | Pivot, Stack, Melt and More
Pandas Functions: Three Ways to Use the Apply Function
Fixing missing values in data - Part 1
How to Implement Regularization on Neural Networks
Neural Networks Hyperparameters Explained | How to set up your neural network
Pandas Functions: Apply vs. Map vs. Applymap
How (and Why) to Use Mini-Batches in Neural Networks
Find missing values in data with Pandas | Beginner tutorial
LSTMs and GRUs
Feature Engineering: Integrate a new data source into your dataset
Python or R: Data Professor answers!
Feature Engineering: Create new features using existing data
It only takes 2 minutes to master your tasklist. Productivity tips from
Step-by-Step Preparing and Training a Machine Learning Model
Improve Machine Learning Model Performance with Tuning
Hands-on Data Science course: Let's build a project together from scratch!
Is your model actually that good? Validating Machine Learning Models
Making Your Project Presentable: Last Touches for an Impressive Portfolio
The Basics of Evaluating Machine Learning Projects
Extract Hour, Day, Month Info from Pandas DateTime
