The Data Science & Machine Learning Bootcamp in Python

4.2 ★★★★ ★

The Data Science & Machine Learning Bootcamp in Python

Name: The Data Science &amp; Machine Learning Bootcamp in Python
Rating: 4.2 (188 reviews)
Author: Derrick Mwiti

Learn Python for Data Science, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Dask, LightGBM, XGBoost, CatBoost and more

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Derrick Mwiti

English [CC]

category icon Development,Data Science,Bootcamp

Lectures -248

Resources -8

Duration -11 hours

4.2 ★★★★ ★

Add to Cart Buy Now

30-days Money-Back Guarantee

Training 5 or more people ?

Get your team access to 10000+ top Tutorials Point courses anytime, anywhere.

Course Description

In this course, you'll learn how to get started in data science. You don't need any prior knowledge in programming. We'll teach you the Python basics you need to get started. Here are the items we'll cover in this course

The Data Science Process
Python for Data Science
NumPy for Numerical Computation
Pandas for Data Manipulation
Matplotlib for Visualization
Seaborn for Beautiful Visuals
Plotly for Interactive Visuals
Introduction to Machine Learning
Dask for Big Data
Deep Learning & Next Steps

For the machine learning section here are some items we'll cover :

How Algorithms Work
Advantages & Disadvantages of Various Algorithms
Feature Importances
Metrics
Cross-Validation
Fighting Overfitting
Hyperparameter Tuning
Handling Imbalanced Data

What you’ll learn

Python for Data Science
The Data Science Process
NumPy for Numerical Computation
Pandas for Data Manipulation
Matplotlib for Visualization
Seaborn for Beautiful Visuals
Plotly for Interactive Visuals
Introduction to Machine Learning
Dask for Big Data
LightGBM
XGBoost
CatBoost
Linear Regression
Logistic Regression
Decision Trees
Random Forest
Deep Learning using Keras and TensorFlow
Artificial Neural Networks
How Artificial Neural Networks Work
How Artificial Neural Networks Learn
Loss Functions used in Artificial Neural Networks
Activation Functions used in Artificial Neural Networks
Cost Functions used in Artificial Neural Networks
Optimizer Functions used in Artificial Neural Networks
What Backpropagation is
Different Types of Gradient Descent
How to Choose an Activation Function
Preparing your Data for Deep Learning Models
Monitoring Loss Functions
Monitoring Model Metrics
Use of CallBacks in Deep Learning
Fighting overfitting in TensorFlow
Convolutional Neural Networks
Natural Language Processing
Support Vector Machines
KNearest Neighbors
T-Test
Chi-square Test
K-Means Clustering
Principal Component Analysis
Flask

Goals

What will you learn in this course:

Get acquainted with Python for Data Science
Understand the Data Science Process
Perform Numerical Computation with NumPy
Manipulate Data using Pandas
Visualize using Matplotlib
Build interactive visuals with Plotly
Perform Statistical Analysis
Build beautiful visuals using Seaborn
Implement Machine Learning Models
Load in Big Data using Dask
Handle Imbalanced Data
Understand the Intuition Behind Popular Machine Learning Algorithms
Implement Cross-Validation to improve model performance
Search for the best model parameters using Grid Search CV
Use experimental algorithms from Scikit-Learn
Solve Time Series Problems using Prophet
Predict Price of a Commodity using Linear Regression
Host a Machine Learning Model on Heroku
Build classification and regression models using LightGBM
Implement classification and regression models using XGBoost
Build classification and regression models using CatBoost
Classify data using Logistic Regression
Build models using Decision Trees & Random Forests
Perform customer segmentation using KMeans Clustering
Solve problems using Support Vector Machines
...and much more

Prerequisites

What are the prerequisites for this course?

A great sense of curiosity!

The Data Science & Machine Learning Bootcamp in Python

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
5 Lectures

Welcome 01:20 01:20
Assignment: Introduce Yourself
Install Anaconda 01:01 01:01
Understand the Data Science Process 02:12 02:12
About Reviews

Understand Python for Data Science
20 Lectures

Manage Packages in Python
3 Lectures

Perform Numerical Computation with NumPy
9 Lectures

Manipulate Data with Pandas
12 Lectures

Pandas Project Solutions
7 Lectures

Data Visualization in Matplotlib
10 Lectures

Data Visualization in Seaborn - Categorical Plots
10 Lectures

Data Visualization in Seaborn - Visualizing Distributions
5 Lectures

Seaborn with Matplotlib Subplots
2 Lectures

Matrix Visualization in Seaborn
1 Lectures

Visualize Linear Relationships in Seaborn
2 Lectures

Seaborn Multi-Plot Grids
2 Lectures

Word Cloud
1 Lectures

Seaborn & Word Cloud Exercise and Solutions
1 Lectures

Build Interactive Visuals with Plotly
10 Lectures

Building Data Science Applications with Streamlit
6 Lectures

Building Dashboards in Power BI Desktop
27 Lectures

Supervised Machine Learning
60 Lectures

K-Means - Unsupervised Machine Learning
10 Lectures

Feature Ranking with Recursive Feature Elimination
8 Lectures

Association Rule Mining - Apriori
4 Lectures

Natural Language Processing
16 Lectures

Deep Learning & Next Steps
11 Lectures

Automated Machine Learning
4 Lectures

File Resources
1 Lectures

Instructor Details

Derrick Mwiti

Course Certificate

Use your certificate to make a career change or to advance in your current career.

The Data Science & Machine Learning Bootcamp in Python

The Data Science & Machine Learning Bootcamp in Python