Python Programming for Excel Users - NumPy, Pandas and More!
What you'll learn:
Python Programming
NumPy
Pandas
Matplotlib
What you'll learn:
Python Programming
NumPy
Pandas
Matplotlib
Python Flask for Beginners: Build a CRUD web app using Flask
What you will learn
You will learn to create a web server using Flask
You will understand the how the web actually works
Perform Create, Read, Update and Delete operations of a MySQL database
You will learn how to use a YAML file to store and retrieve configuration parameters using PyYAML
You will be comfortable connecting your application to a MySQL database using flask-mysqldb
You will learn to use the Jinja2 template engine of Flask
Add simple CSS styles to your application using flask-bootstrap
Submit a user form through a HTTP POST request
You will learn how to hash sensitive information submitted by the user
Understand the difference between a HTTP GET request and a HTTP POST request
Integrate CKEditor to your blog application using flask-ckeditor
Handle user sessions
What you will learn
You will learn to create a web server using Flask
You will understand the how the web actually works
Perform Create, Read, Update and Delete operations of a MySQL database
You will learn how to use a YAML file to store and retrieve configuration parameters using PyYAML
You will be comfortable connecting your application to a MySQL database using flask-mysqldb
You will learn to use the Jinja2 template engine of Flask
Add simple CSS styles to your application using flask-bootstrap
Submit a user form through a HTTP POST request
You will learn how to hash sensitive information submitted by the user
Understand the difference between a HTTP GET request and a HTTP POST request
Integrate CKEditor to your blog application using flask-ckeditor
Handle user sessions
Linked List Data Structure using Python
What you will learn
Have a good understanding on linked list
Be able to write your own linked lists in Python
Understand different types of linked lists such as Singly Linked List, Doubly Linked List and Circular Linked List
Get better at problem solving in Python
Leverage your Python programming skills
What you will learn
Have a good understanding on linked list
Be able to write your own linked lists in Python
Understand different types of linked lists such as Singly Linked List, Doubly Linked List and Circular Linked List
Get better at problem solving in Python
Leverage your Python programming skills
👍1
Machine Learning (ML) Bootcamp: Python, TensorFlow, Colab, ..
What you will learn
The three building blocks of Machine Learning: Maths, Methods and Machine.
Maths: Calculus, Linear Algebra, Statistics, Naive Bayes
Methods: Neural Networks, Deep Learning, PCA, Scikit-learn, Tensorflow, Keras
Machine: Python, Cloud Computing, Colab
Insights into real life projects and how to apply the concepts
What you will learn
The three building blocks of Machine Learning: Maths, Methods and Machine.
Maths: Calculus, Linear Algebra, Statistics, Naive Bayes
Methods: Neural Networks, Deep Learning, PCA, Scikit-learn, Tensorflow, Keras
Machine: Python, Cloud Computing, Colab
Insights into real life projects and how to apply the concepts
👍2
How to create Telegram bots with Python. No-Nonsense Guide
What you'll learn
Create telegram bots any complexity
Deploy bot to VPS
What you'll learn
Create telegram bots any complexity
Deploy bot to VPS
Python for Data Science and Machine Learning Bootcamp
What you'll learn
Use Python for Data Science and Machine Learning
Use Spark for Big Data Analysis
Implement Machine Learning Algorithms
Learn to use NumPy for Numerical Data
Learn to use Pandas for Data Analysis
Learn to use Matplotlib for Python Plotting
Learn to use Seaborn for statistical plots
Use Plotly for interactive dynamic visualizations
Use SciKit-Learn for Machine Learning Tasks
K-Means Clustering
Logistic Regression
Linear Regression
Random Forest and Decision Trees
Natural Language Processing and Spam Filters
Neural Networks
Support Vector Machines
What you'll learn
Use Python for Data Science and Machine Learning
Use Spark for Big Data Analysis
Implement Machine Learning Algorithms
Learn to use NumPy for Numerical Data
Learn to use Pandas for Data Analysis
Learn to use Matplotlib for Python Plotting
Learn to use Seaborn for statistical plots
Use Plotly for interactive dynamic visualizations
Use SciKit-Learn for Machine Learning Tasks
K-Means Clustering
Logistic Regression
Linear Regression
Random Forest and Decision Trees
Natural Language Processing and Spam Filters
Neural Networks
Support Vector Machines