USA
Python tutor near me in the USA
Python tutoring with trusted tutors in the USA
Python tutoring from beginner to advanced
Python taught to students by USA tutors
Python instruction in New York, Los Angeles
Sonali taught 9 days ago
The Tutor and Student reviewed key concepts related to decision trees and model evaluation metrics, working through practice quizzes to solidify understanding. They focused on interpreting metrics like precision, recall, and Gini impurity, and understanding how to apply these concepts in machine learning model evaluation. The Student will continue practicing with these concepts in future sessions.
Drug Response Prediction
Credit Card Approval Prediction
Box Plot and Median
Scatter Plot and Correlation
Decision Tree Root Node
Leaf Node and Class Proportion
Impurity Measures (Gini and Entropy)
Decision Tree Splitting
Sonali taught 11 days ago
The Tutor introduced the Student to the basics of decision trees, including their structure and key differences from linear regression. The session covered Gini impurity and entropy as measures for selecting attributes in decision trees. The Student was assigned readings on business process visualization, decision tree overview, impurity measures, and splitting mechanisms from the course website.
Data Scientist vs. Applied Data Scientist
Decision Tree Algorithm Fundamentals
Attribute Selection and Splitting Criteria
Gini Index Calculation
Entropy Calculation
Impurity and Purity Explained
Dr. Gurinderjeet taught 13 days ago
The student and tutor worked on two coding problems: one from Code Forces involving even number division and one from LeetCode focused on valid parentheses. The student received detailed explanations of stack implementation and logic for parenthesis matching. The tutor assigned practice problems, encouraging the student to focus on logic building before seeking coding assistance, and scheduled a follow-up session.
Divisibility and Even Numbers
Input Validation and Conditional Logic
String Iteration and Character Comparison
Stack Data Structure (List Implementation)
Membership Operator (`in`) for Strings
Problem Decomposition and Logic Building
Boolean Logic and Return Values
Sonali taught 16 days ago
The Student and Tutor practiced implementing linear regression in Python. They covered importing libraries, loading a dataset from a CSV file, adding a target variable, and splitting the data into training and testing sets. The plan is to continue with model training, evaluation, multiple linear regression, and handling categorical variables in the next session.
Importing Libraries
Data Loading and Exploration
Target Variable Addition
Independent and Dependent Variable Definition
Train-Test Split
Sonali taught 17 days ago
The Tutor introduced the Student to machine learning, covering the basics of model training, accuracy testing, and the differences between supervised and unsupervised learning. The Student learned about linear regression, the Pearson correlation coefficient, and key evaluation metrics. The next session will focus on coding and implementation of the concepts discussed.
Machine Learning Training and Testing
Supervised vs. Unsupervised Learning
Linear Regression Fundamentals
Pearson Correlation Coefficient (PCC)
Coefficient of Determination (R²)
Error Minimization: Best Fit Line
Mohit taught 19 days ago
The student learned how to use AI tools like Claude to assist in web application development, focusing on creating a profile page with Supabase. The session covered SQL basics, debugging techniques using AI, and the importance of server-side rendering with `superbase SSR` to handle cookie-related errors. They planned to continue this work in the next session.
AI-Assisted Development Workflow
Markdown for AI Communication
SQL Fundamentals
Error Handling with AI
Client-Side vs. Server-Side Rendering (SSR)
Importance of Environment Variables
Python and other coding help available
Simplify coding with expert private tutor
Python class statistics in the U.S.
Total Python tutors
394 Python tutors available
Expert Python tutors
76% hold a Master’s degree
Python Industry experience
84% of tutors have worked in software development
Everything you need to know about Python
All about learning python
Python, used by 50% of developers worldwide, is a high-level, object-oriented programming language known for its readability and simplicity. It powers web frameworks (Django, Flask), data science (Pandas, NumPy), machine learning (TensorFlow, PyTorch), and IoT applications (MicroPython). With its versatility, python developers earn an average of $120,000 per year in the U.S. (Indeed).
You can learn python through self-study, coding boot camps, online courses, or tutoring. While self-study could allow learning at your own pace, a private tutor can help in fast and structured learning, making it ideal for those who want to master Python faster.
However, challenges like debugging errors, grasping complex libraries, and applying concepts can slow progress. Most learners take 3 to 6 months to gain proficiency, but real expertise comes with practice.
With python’s growing demand in AI, fintech, and cybersecurity, mastering it is a smart investment. Whether through self-learning or a tutor, consistency and hands-on practice are key to success.
How can a tutor help you in learning python?
Assignment help & exam prep
Ever struggled with a tough python assignment? A tutor can pinpoint challenges and guide you through recursive functions, debugging loops, or data structures.
Beyond assignments, they identify concept gaps and fill them with practical coding exercises in file handling, SQL, or Matplotlib. This hands-on approach boosts exam performance and builds confidence for future tasks.
Debugging & error resolution
Ever spent hours stuck on a bug? A tutor can walk you through debugging, explain error messages, and show you how to write cleaner, more efficient code. With personalized guidance, you’ll write cleaner, more efficient, and Pythonic code that’s easier to understand and maintain.
Hands-on learning & real projects
A tutor can guide you through real-world python applications—building Django web apps, automating tasks with Selenium, or writing REST APIs with Flask. This hands-on approach gives you the skills to excel in python development!
What to look for in a python tutor?
Experience and expertise
Look for a python tutor with a strong background in fields like data science, machine learning, or web development.
A Python tutor with experience in real-life projects, like building machine learning models, creating web apps with Flask or Django, or analyzing data with pandas, can offer you valuable insights and improve your learning.
Teaching skills and practical knowledge
Python tutors who use real-life examples can help you understand topics better. For instance, if you're building projects like GUI applications in Tkinter or customer segmentation models in data science, a tutor integrates real-world examples to explain concepts, making complex topics easier to grasp.
Cost
The cost of python tutors online ranges between $30 to $200 per hour, depending on factors like the tutor's experience, location, and the platform used. Beginner tutors or group sessions are usually cheaper, while experienced professionals or one-on-one sessions cost more.
Wiingy offers 1-on-1 python tutoring at an affordable rate of 28$ per session.
Frequently asked questions
How much time does it take to master Python?
What are the best resources to learn Python?
What are the best projects to build using Python?
How can I learn Python for a new job?
How can I effectively solve errors that occur while I use Python?
How can a tutor help me gain hands-on experience with Python?
How can I find a tutor to help me learn Python?
What qualifications should I look for in my Python tutor?
