Saurabh choudhary
"Crafting Data Magic: Unveil Insights with Engaging Data Projects"
Private tutor - Saurabh choudhary
Bachelors degree
$29
$26
/ hour
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 specialities
Job readiness
Project help
Statistical analysis
Upskilling
Business intelligence
Predictive modeling
Data visualization
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Data Science concept taught by Saurabh
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
Reference Management
Ethical and Societal Discussion
Future Work in Research
Model Refinement
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
Significant Digits
Bullet Points
Implementation Specifics
Report Structure
Thesis Feedback
Daniel and Saurabh discussed Saurabh providing feedback on a student's thesis, covering aspects like title, methodology, and conclusions. They also explored website templates for Daniel's friend's barber shop, with plans to use Python and Django for development. Additionally, they analyzed a correlation matrix to understand relationships between environmental factors and power consumption, and Daniel was assigned to change the x-axis date time to index to date time in graph for ppt.
Feedback Criteria
Thesis Opposition
Correlation Analysis
Website Responsiveness
Questioning During Presentation
Daniel and Saurabh collaborated on improving Daniel's PowerPoint presentation and clarifying concepts related to a power consumption prediction model. They addressed issues with data visualization, the interpretation of evaluation metrics, and the impact of data splitting on model performance. Saurabh will provide Daniel with a simplified summary of the code and explanations of key concepts to aid in his preparation.
Data Span
Train/Test Split
LSTM Time Series
R2 Score
Dropout Layer in CNN
Correlation Heatmap
Daniel and Saurabh are collaborating on a presentation about electric power consumption forecasting using machine learning models (including LSTM, CNN, and LightGBM). They are refining Saurabh's draft presentation by incorporating data analysis insights, model evaluation metrics, visual aids, and simplified explanations. They plan to address data cleaning, scaling, model comparison, and potential audience questions.
Data Preprocessing
Outlier Handling
Data Scaling
Model Evaluation Metrics
LSTM Model
CNN Model
LightGBM Model
Your data science tutor also teaches
Data Analysis
Databases
Machine Learning
Python
Statistics
Free lesson slots
1 / 1
Student types for data science class
School
College
Adult / Professional
All Levels
ADHD
Anxiety or Stress Disorders
Home schooled
Interactive data science classes
Record lessons
Note taking
Pets are welcomed
Parent feedback
Open Q&A
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