1st lesson free
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Hritik
- Rate R459
- Response 10h
-
Students3
Number of students Hritik has accompanied since joining Superprof
Number of students Hritik has accompanied since joining Superprof
R459/h
Contact
1st lesson free
- Maths
- Statistics
- School science
- Algorithms
- Information Technology
Artificial Intelligence and Machine Learning Graduate from the University of Birmingham | Ex-Samsung Data Scientist | I love to teach
- Maths
- Statistics
- School science
- Algorithms
- Information Technology
Lesson location
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.
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About the lesson
- Primary
- Secondary
- Matric/GCSE
- +9
levels :
Primary
Secondary
Matric/GCSE
AS Level
A Level
BTech
Adult education
Undergraduate
Masters
Diploma
Doctorate
MBA
- English
Languages in which the lesson is available :
English
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
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Rates
Rate
- R459
Package rates
- 5h: R2296
- 10h: R4591
online
- R459/h
travel
- + R15
free lesson
The free first lesson with Hritik allows you to get to know the tutor and discuss your needs and expectations.
- 1h
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