Saurabh choudhary
"Crafting Data Magic: Unveil Insights with Engaging Data Projects"
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Saurabh choudhary
Bachelors degree
/ 55 min
About your data science tutor
Hello! I'm Saurabh, a Data Science tutor specializing in Statistics, Data Analysis, Databases, Machine Learning, and Python. I have experience of more then 3+ years. I have already taught many students from across the globe like countries USA, UK, Canada, UAE, Philippines, Australia. I have taught students of all ranges from school kids to working professionals even .My teaching philosophy revolves around making complex concepts simple for all levels of students. I engage students by encouraging collaboration, hands-on practice, and real-world applications. Let's explore the world of data together!
Data sciece class overview
As a tutor in Statistics, Data Analysis, Databases, Machine Learning, and Python, I use a hands-on approach to teach students at all levels, whether in school, college, or a professional setting. My teaching methodology focuses on practical skills in data analysis, machine learning, and statistical modeling. I specialize in using real-world datasets and visualization tools to make learning engaging and effective. I assess each student's data skills and interests to create a personalized learning plan that includes data cleaning and hands-on projects. I provide detailed feedback on code and data analysis to ensure comprehensive understanding and growth. And sometimes i also provide the visual representation of any concepts in coding which would help students to understand the concept better, like using gif or videos or images. Let's learn and excel together!
Data Science tutor skills
Upskilling
Predictive modeling
Data visualization
Assignment help
Paired coding
Project help
Statistical analysis
Teaching tools used by data science tutor
Jupyter Notebook
RStudio
Google Colab
Your data science tutor also teaches
Data Analysis
Databases
Machine Learning
Python
Statistics
Learner types for data science class
Home schooled
College
Anxiety or Stress Disorders
School
All Levels
Adult / Professional
ADHD
Data Science concepts taught by Saurabh
The session involved the student and tutor collaboratively solving visual pattern recognition and logical reasoning problems to prepare for an aptitude test. The student and tutor explored different problem-solving strategies and techniques, and later reviewed the results of the test. The tutor suggested preparing a machine learning and AI lesson for the next session.
Pattern Recognition
Analogical Reasoning
Abstract Reasoning
Logical Deduction
Spatial Reasoning
Matrix Reasoning
The Student practiced abstract reasoning questions involving pattern recognition to prepare for an upcoming test. They reviewed strategies for identifying logical patterns and discussed time management techniques for the test. The Tutor recommended continuing practice to improve pattern identification skills.
Integrity and Honesty in Testing
Logical Pattern Recognition
Time Management in Tests
Test Difficulty Progression
The Student and Tutor collaborated on completing a personality assessment test and reviewed the results. They discussed the implications of the results, specifically focusing on areas where the student could improve, such as cooperation with colleagues. The plan is to complete the second part of the assessment in the next session.
Importance of Accurate Self-Assessment
Understanding Question Context
Prioritization and Relative Assessment
Personality Assessment Interpretation
Saurabh and Daniel collaborated on refining Daniel's project report, focusing on adding a section about hyperparameter tuning for LightGBM, CNN, and LSTM models using Optuna. They discussed implementation details, results presentation, and plagiarism avoidance, and Daniel will implement the discussed changes, including code snippets and table adjustments, before sharing the updated report.
Hyperparameter Tuning
Model Evaluation
Implementation Chapter
Source Code Indication
Saurabh Choudhary assisted Daniel Kefele in refining his research paper, focusing on incorporating hyperparameter tuning results and addressing reviewer feedback. They worked on updating the conclusion and discussion sections, ensuring consistency with the new findings. Daniel plans to discuss the inclusion of hyperparameter tuning details with his supervisor and will update the paper accordingly.
Hyperparameter Tuning
Model Refinement
Future Work in Research
Ethical and Societal Discussion
Reference Management
Saurabh and Daniel collaborated to revise Daniel's thesis based on feedback received. They addressed issues related to LSTM diagrams, AI-generated text, formatting inconsistencies, excessive bullet points, image readability, and content clarity. They planned to move the 'choice of models' section to a new 'pre-study' chapter and use a chatbot to clarify feedback points, with a follow-up session scheduled for Monday to continue revisions.
Societal Aspects
Thesis Feedback
Report Structure
Implementation Specifics
Bullet Points
Significant Digits
Interactive data science classes
Open Q&A
Pets are welcomed
Weekend lessons
Record lessons
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