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Ameen
- Price $8
- Answer 1h
-
Students5
Number of students Ameen has accompanied since arriving at Superprof
Number of students Ameen has accompanied since arriving at Superprof

$8/h
This teacher is currently unavailable
- Digital Marketing
Master Machine Learning and Python with Real-World Projects. Learn by practically implementing core Machine Learning concepts and Python techniques in live applications.
- Digital Marketing
Lesson location
About Ameen
Worked as a Machine Learning and Python Trainer in various EdTech companies and trained 200+ students. I can train students in Python Programming, Data Analysis, Machine Learning Algorithms, Model Building, Data Visualization, and Model Evaluation using libraries like Pandas, NumPy, Matplotlib, Scikit-learn, and more. Training also includes real-time project implementation, hands-on coding sessions, and deploying ML models. I also assist students with resume preparation and provide guidance to help them get placed in relevant job roles.
About the lesson
- TAFE
- Undergraduate
- Diploma/Certificate
- +3
levels :
TAFE
Undergraduate
Diploma/Certificate
Postgraduate
Year 12
Year 11-12
- English
All languages in which the lesson is available :
English
1. Complete end-to-end Machine Learning project development using Python (selecting a real-world problem/domain).
2. Performing proper data collection and preprocessing using advanced Python libraries (Pandas, NumPy, etc.).
3. Building and training models using popular algorithms (Regression, Classification, Clustering, etc.).
4. Implementing model evaluation techniques and optimizing performance (using cross-validation, GridSearchCV, etc.).
5. Deploying ML models using Flask or Streamlit.
6. Working with real datasets and running live projects.
7. Exploring deep learning basics with TensorFlow/Keras.
8. Using tools like Jupyter Notebook, Google Colab for practical implementation.
9. Data visualization and analysis using Matplotlib, Seaborn, and Plotly — and much more.
Rates
Price
- $8
Pack prices
- 5h: $39
- 10h: $63
online
- $8/h
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