1^st lesson free

Hritik

Rate €25
Response 1h
Students
Number of students Hritik has accompanied since arriving at Superprof
3
Number of students Hritik has accompanied since arriving at Superprof

€25/h

1^st lesson free

Maths
Statistics
School science
Algorithms
ICT

Artificial Intelligence and Machine Learning Graduate from the University of Birmingham | Ex-Samsung Data Scientist | I love to teach

Maths
Statistics
School science
Algorithms
ICT

Lesson location

- Online

About Hritik

From Math & Statistics --> Coding --> Data Science

Learn and apply Math with logic building

Mathematics & Statistics:

Calculus: Limits, derivatives, and integrals.
Linear Algebra: Vectors, matrices, eigenvalues, eigenvectors.
Probability: Probability distributions, random variables, expected values.
Statistics: Descriptive statistics, inferential statistics, hypothesis testing.
Multivariate Calculus: Gradients, partial derivatives.
Optimization: Gradient descent, optimization techniques.

Coding:
Programming Languages: Choose a language such as Python or R.
Basic Programming Concepts: Variables, data types, loops, conditionals.
Data Structures: Lists, arrays, dictionaries, sets.
Functions and Modules: Writing functions, modular programming.
Version Control: Git and GitHub.
Command Line: Basic command-line operations.

Data Science:
Python Libraries: NumPy, Pandas, Matplotlib, Seaborn.
Data Cleaning: Handling missing data, outliers.
Data Visualization: Creating effective visualizations.
Statistical Modeling: Regression analysis, hypothesis testing.
Machine Learning: Supervised and unsupervised learning algorithms.
Feature Engineering: Creating relevant features from raw data.
Model Evaluation: Metrics for evaluating model performance.
Data Preprocessing: Scaling, normalization, encoding.
Big Data Technologies: Apache Spark, Hadoop.
Deep Learning (Optional): Neural networks, TensorFlow, PyTorch.
Natural Language Processing (NLP): Text mining, sentiment analysis.
Time Series Analysis: Handling time-dependent data.
Databases: SQL, working with databases.
Cloud Platforms: AWS, Azure, Google Cloud.
Communication and Presentation: Explaining findings to non-technical stakeholders.

About the lesson

From High School Statistics to Engineering Maths to Data Science

Learn Math and Statistics visually with logic breakdown

Qualifications: MSc Artificial Intelligence and Machine Learning | University of Birmingham | 2:1 Merit

Who are my audience: Anyone having basic idea about math and statistics

Rates

Rate

€25

Pack prices

5h: €125
10h: €250

travel fee

+ €15

free lessons

The first free lesson with Hritik will allow you to get to know each other and clearly specify your needs for your next lessons.

online

€25/h

Artificial Intelligence and Machine Learning Graduate from the University of Birmingham | Ex-Samsung Data Scientist | I love to teach

Lesson location

About Hritik

About the lesson

Rates

Rate

Pack prices

travel fee

free lessons

online

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About Hritik

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Rates

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Pack prices

travel fee

free lessons

online

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A 4.0 gpa engineering doctorate teaching pure sciences & math for 5+ years

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