The Complete Healthcare Artificial Intelligence Course 2024
Creating powerful AI model for Real-World Healthcare applications with Data Science, Machine Learning and Deep Learning
3.96 (293 reviews)
2,217
students
29.5 hours
content
Mar 2025
last update
$64.99
regular price
What you will learn
Pandas.
Matplotlib.
Sigmoid activation function.
Tanh activation function.
ReLU activation function.
Leaky Relu activation function.
Exponential Linear Unit activation function.
Swish activation function.
Markov models.
Support Vector Machines
Other common classifiers
Import data from the UCI repository.
Convert text input to numerical data.
Build and train classification algorithms.
Compare and contrast classification machine learning.
Building the AI.
Machine learning and deep learning model based on the given data with high accuracy.
RF with Response Coding.
Maximum voting Classifier.
Stacking model.
Random Forest Classifier.
One-hot Encoding.
NLP (Natural Language Processing)
NLTK (Natural Language Toolkit)
Logistic Regression.
Naive Bayes
Response Encoding
Linear Support Vector Machines
Geolocation Features.
Handling Missing Data And Anomalies in Python.
Data standardization.
Temporal Features.
Seaborn
Deep Learning.
Keras.
Google Colab .
Anaconda.
Jupiter Notebook.
Screenshots
3811732
udemy ID
1/29/2021
course created date
2/10/2021
course indexed date
AhmedELKING
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