# Python Machine Learning Advanced Canonical URL: ## Overview Natural Language Processing (NLP) and the construction of Flask web apps that put machine learning to work are the subjects of this hands-on course. TF–IDF and cosine similarity go into a movie recommendation system, while Naive Bayes, TextBlob, and Vader carry the sentiment analysis. Cleaning and processing the text itself relies on RegEx and lemmatization. Flask fundamentals, dynamic HTML templating, and API integration for pulling in live data are covered along the way. The course ends with the deployment of a complete Movie Recommender App, which leaves you with practical experience in applied ML and web development. ## What you'll learn - Assemble an end-to-end NLP pipeline that cleans text with RegEx, strips stopwords, lemmatizes, and vectorizes. - Fit a Naive Bayes model and assess how well it sorts movie reviews into positive and negative. - Put pre-trained sentiment scorers such as TextBlob and Vader to use, and weigh them against each other. - Use NLP techniques to power a recommendation engine that points users to similar products. - Get grounded in Flask by building search apps, connecting APIs, and delivering ML models through the browser. - Finish with a capstone: a Movie Recommender App running on Flask that combines NLP, machine learning, and web development. ## Curriculum ### 1. NLP & Sentiment Analysis #### Environment Setup & NLP Fundamentals - VS Code environment configuration, NLP libraries installation - Tokenization, stopword removal, stemming, lemmatization - Text representation with Bag of Words and TF-IDF #### Sentiment Analysis Project - Logistic Regression for sentiment classification - Data splitting, model evaluation metrics (accuracy, precision, recall, confusion matrix) ### 2. Recommendation Systems #### Collaborative Filtering - User-based and item-based filtering - Cosine similarity for personalized recommendations #### Content-Based Movie Recommender - Vectorizing text using TF-IDF - Implementing content similarity algorithms ### 3. Flask App for Recommendations #### Building an ML-Powered Web App - Flask basics and web serving - Developing a recommendation system Flask app ### 4. Forecasting & Deep Learning #### Time Series with Facebook Prophet - Trend forecasting and visualization (e.g., market prices) #### Deep Learning with PyTorch - CNN basics, image classification using the CIFAR-10 dataset - Model training, accuracy assessment, and confusion matrix interpretation ### 5. Object Detection #### Real-Time Object Detection with YOLO - Image detection and labeling with pretrained models - Adapting YOLO models to video streams and real-time webcam input ## Schedule - Dec 7, 2026 – Dec 11, 2026 — NYC - Feb 22, 2027 – Feb 26, 2027 — NYC - Jun 21, 2027 – Jun 25, 2027 — NYC - Aug 16, 2027 – Aug 20, 2027 — NYC ## FAQ ### Is this course open to beginners? Yes, this course is open to beginners. Students must be comfortable using a computer. No other prior knowledge is required. ### Do you offer payment plans or student financing for this course? This course does not qualify for payment plans or student financing. See our Payment Plan FAQ to find related programs that qualify. ### Can I take this course online (remote learning)? No upcoming live online dates are currently available. Please contact us about future availability. ### What happens if I need to miss a session? You have some options: You can watch a recording of the session. We will provide any course materials. Contact us to confirm whether remote attendance is available for your session. You can use your free retake to make up any missed class time. ### What’s included with my tuition? A hands-on learning experience working on projects and exercises, which is proven to boost comprehension, retention, and engagement Expert instructors who are industry professionals and experienced educators that are driven to help you succeed Top-notch curricula that have been tried and tested over many cohorts and are consistently improved for an optimal learning experience A 1-year free retake policy which allows students to retake any part of the course or program for free to refresh the materials and gain additional practice 30-day access to class recordings to review material at your own pace A certificate of completion to verify your accomplishment ### Are there any additional fees or expenses? There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us. However, if you plan to take the course live online , you may need to obtain required software. We’ll help you get set up with a free trial of paid software prior to the class. Most of our coding classes utilize freely-available open-source software. For most of our design and motion graphics courses, we will help you get set up with a free trial of Adobe Creative Cloud. If you attend the course in-person, we will have a computer already set up for you with all of the required software for no additional cost. ### Do you offer any discounts for this course? Take this course as part of a certificate program and save: Data Analytics & AI Certificate Price: $6,995 | Hours: 210 Hours ## Pricing **Tuition:** $1895