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Python classes recently conducted by online tutors
Classes recently conducted by online tutors
Sonali taught 7 days ago
The session focused on building and optimizing a decision tree model using Python to predict loan applications. The student reviewed data exploration, preprocessing, EDA, model building, validation, and pre-pruning techniques. The session was cut short, and follow-up to continue working on the code and post-pruning was scheduled for the next session.
Data Preprocessing: Categorical to Category
Exploratory Data Analysis (EDA): Univariate vs. Bivariate Analysis
Feature Correlation and Heatmaps
Decision Tree Classifier and Categorical Data
Gini Impurity Explained with Analogy
Understanding the Confusion Matrix
Overfitting: Recognizing and Avoiding It
Pre-Pruning for Decision Trees
Mohit taught 8 days ago
The session involved setting up a new development environment on a secondary computer, including installing NodeJS, configuring VS Code, and integrating GitHub for code management. The Student also configured Cloud Code within VS Code and discussed responsive web design principles. The Tutor will follow up with the Student to continue working on the project.
Responsive Web Design
Version Control with Git and GitHub
Setting up a Development Environment
Cloudflare and Web Security
Using Cloud Code in VS Code
Dr. Gurinderjeet taught 10 days ago
The Student practiced deploying a containerized ML model to Kubernetes, including creating a model, building a Flask API, and writing a Dockerfile. The session covered error handling, input validation, and Docker image configuration. The Student will complete the YAML file and test the deployment.
Containerizing ML Models with Docker
Kubernetes Deployment for ML Models
Flask API for Model Serving
Model Training and Persistence
Input Data Validation in APIs
Sonali taught 11 days ago
The Student and Tutor worked through a data pre-processing project in Python using a provided Jupyter Notebook. They loaded and explored a loan dataset, handled missing or incorrect values, and converted relevant columns into categorical data types. The next session will cover exploratory data analysis, including univariate and bivariate analysis, missing data handling, and outlier detection.
Data Loading and Inspection with Pandas
Data Copying for Safe Manipulation
Descriptive Statistics for Data Understanding
Dropping Irrelevant Columns
Handling Invalid Data and Data Type Conversion
Feature Engineering: Transforming Zip Codes
Understanding Categorical Data
Sridevi taught 13 days ago
The Tutor and Student reviewed Python's list, tuple, set, and dictionary data structures, including how to create, modify (where applicable), and access data within them. The Student then practiced using these data types in PyCharm, and the tutor touched on `if` statements and `for` loops. The tutor suggested the student renew for more classes to continue learning.
Lists in Python
Tuples in Python
Sets in Python
Dictionaries in Python
Conditional Statements (if
else
elif)
For Loops and the Range Function
Mohit taught 17 days ago
The session involved a discussion about improving an application, including UI enhancements and feature additions for an MVP release. The Student and Tutor also discussed cost-effective development strategies and the deployment process using GitHub. Plans were made to schedule another session to continue the project.
MVP Development & Feature Prioritization
Early Access & User Feedback
Cost-Benefit Analysis in Software Development
Iterative Development and Feature Improvement
Version Control with GitHub
Online Python learning at Wiingy
Total Online Python tutors
451 Python tutors available
Expert Online Python tutors
90% hold a Python certification
Online Python Industry experience
87% of tutors have worked in software development
Learn Python Online: Master Programming with Expert Python Tutors
Why Choose Python for Your Coding Journey?
Python is the most popular programming language in the world for a reason it’s easy to read, beginner-friendly, and incredibly versatile. From web development and automation to data science and artificial intelligence, Python powers everything. Its straightforward syntax makes coding approachable, helping you quickly understand and write effective programs, no matter your skill level.
What Can You Do With Python?
Python is widely used in diverse fields and industries, including:
- Web Development: Build robust websites and apps using Django, Flask, or FastAPI frameworks.
- Data Science & Analysis: Analyse and visualise data using libraries like Pandas, NumPy, and Matplotlib.
- Artificial Intelligence & Machine Learning: Create intelligent systems and predictive models with TensorFlow, Keras, and scikit-learn.
- Automation & Scripting: Automate everyday tasks, improve efficiency, and simplify workflows.
- Game Development: Develop engaging games and interactive experiences using libraries like Pygame.
Why Learning Python Online is More Effective
Learning Python online is an exceptionally effective way to master coding, offering distinct advantages over traditional methods. Here's why:
1. Personalised Learning Experience
Online Python tutoring provides one-on-one interaction tailored specifically to your learning speed, style, and goals. Unlike crowded classrooms, you get direct, customised support, helping you grasp complex concepts quickly.
2. Flexible Scheduling
Online learning gives you the freedom to learn anytime, anywhere. Whether you're at home, in a café, or traveling, you can consistently progress without interruption. Flexibility helps you fit Python lessons seamlessly into your daily life.
3. Instant Feedback and Support
With online Python tutoring, you receive immediate feedback on your code, accelerating your learning process. Tutors identify and correct mistakes instantly, guiding you towards better coding habits right from the start.
4. Interactive and Engaging Learning
Online Python platforms often use interactive tools, coding challenges, quizzes, and visual demonstrations. This interactive approach makes Python learning engaging, enjoyable, and easy to retain.
5. Access to Top Experts Globally
Online Python tutoring connects you with experienced tutors from around the world. You're not limited by geography, so you can choose tutors who specialise in areas aligned with your interests, such as web development, data science, or AI.
6. Real-World Projects and Applications
Online Python courses often emphasize hands-on projects and real-world scenarios. You’ll build practical skills quickly, working on tasks that mirror professional environments preparing you effectively for future job opportunities.
7. Cost-Effectiveness
Online Python learning eliminates travel expenses, saves commuting time, and provides affordable course options. You receive high-quality education without the added costs associated with traditional classroom setups.
8. Continuous Access to Resources
Online learning platforms provide recordings, notes, and resources available 24/7. You can revisit lessons, review key concepts, or practice coding whenever needed, ensuring thorough understanding and long-term retention.
9. Comfortable Learning Environment
Learning Python online allows you to study comfortably and confidently from your own space. A stress-free learning environment significantly enhances your concentration, motivation, and overall success.
When Should You Start Learning Python?
There's never been a better time than now. With expert online tutors, easy access to resources, and countless career opportunities waiting, today is perfect to begin your Python learning journey.
Where Can Python Skills Take You?
Learning Python opens the door to numerous exciting career paths, including:
- Software Developer
- Data Scientist
- Machine Learning Engineer
- Web Developer
- Cybersecurity Analyst
- Automation Specialist
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