Machine Learning and Deep Learning Projects in Python

### Course Overview
- **Course Title:** Machine Learning and Deep Learning Projects in Python
- **Instructor:** **S. Emadedin Hashemi** (AI Expert and Data Scientist)
- **Target Audience:**
  - Beginners to intermediate learners in **Python**, **machine learning**, and **deep learning**
  - Developers seeking hands-on **real-world projects** in AI
  - Professionals aiming to apply **predictive modeling**, **NLP**, and **image processing**
- **Prerequisites:**
  - **Basic Python** knowledge

### Curriculum Highlights
- **Key Topics Covered:**
  - **Machine learning** and **deep learning** fundamentals and applications
  - **Python** implementation of **Logistic Regression**, **Naive Bayes (Multinomial/Gaussian)**, **SGDClassifier**, and **artificial neural networks (ANN)**
  - **Data preparation**, **visualization**, and **preprocessing** for ML/DL models
  - **Prediction models** for sales forecasting, pricing, and classification
  - **Natural Language Processing (NLP)** techniques and projects
  - **Image processing** using ANN in Python
  - **Algorithm validation metrics**: Confusion matrix, Accuracy score, Precision/Recall, F1 score
  - **APIs for data collection** and working with diverse datasets
  - **Case studies** in real-world projects
- **Key Skills Learned:**
  - Implementing **ML/DL algorithms** in Python from scratch
  - Building and validating **predictive models** for business applications
  - Processing and analyzing **text data (NLP)** and **images**
  - Using **Python libraries**: Scikit-learn, TensorFlow/Keras, Pandas, Matplotlib, NLTK
  - Interpreting **model performance metrics** and optimizing results
  - Applying **statistical analysis** and **data visualization** techniques

### Course Format
- **Duration:** **5.5 hours** on-demand video
- **Format:** Self-paced **online course** (lifetime access)
- **Resources:**
  - **39 articles** and **83 downloadable resources** (datasets, code templates, cheat sheets)
  - **40+ cheat sheets** covering **Data Science**, **Machine Learning**, **Deep Learning**, and **Python**
  - **Mobile and TV access**
  - **Certificate of completion**

### Additional Information
- **Instructor Stats:**
  - **4.5/5 instructor rating** (810 reviews)
  - **88,173 students** enrolled across courses
  - **3 courses** published on Udemy