Machine Learning using Python
The Machine Learning using Python course offers a comprehensive, hands-on learning experience with over 40 hours of applied learning and 4 real-world projects. It covers key machine learning concepts like supervised and unsupervised learning, regression, classification, and time series modeling. With dedicated mentoring and lifetime access to materials, participants will gain the skills needed to become successful machine learning engineers or data scientists. The course also includes industry-based projects, interactive labs, and focuses on using Python and its powerful libraries like TensorFlow and scikit-learn for data-driven solutions.
About this Course
Unlock the full potential of data with our comprehensive Machine Learning using Python course. Learn from 40+ hours of applied learning, interactive labs, and real-world projects. Gain in-demand skills in supervised/unsupervised learning, regression, classification, time series modeling, and more using Python. This course is ideal for professionals seeking to upskill and transition into roles like machine learning engineer or data scientist. With dedicated mentorship, lifetime access to learning materials, and a focus on experiential learning, you’ll be well-prepared for a successful career in machine learning.
Outline
Lesson 01: Course Introduction
- Overview and learning objectives
- Introduction to Python packages for machine learning
Lesson 02: Introduction to Machine Learning
- Types of Machine Learning: Supervised, Unsupervised
- Machine Learning pipeline, MLOps
Lesson 03: Supervised Learning
- Supervised Learning algorithms
- Data preparation, detecting overfitting/underfitting
Lesson 04: Regression and Applications
- Linear, Logistic, Polynomial, Ridge, LASSO regression
- Model building and performance evaluation
Lesson 05: Classification and Applications
- Classification algorithms: Naive Bayes, KNN, Decision Trees
- Random Forest, Support Vector Machines (SVM)
Lesson 06: Unsupervised Algorithms
- Clustering techniques: K-means, Hierarchical Clustering
- Outlier detection, Principal Component Analysis (PCA)
Lesson 07: Ensemble Learning
- Bagging, Boosting, Stacking methods
- Hands-on with TensorFlow and Keras
Lesson 08: Recommender System
- Collaborative Filtering: User-based, Item-based
- PyTorch for building recommendation engines
Exam Pass Guarantee
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A Cisco Success Story
I attended a resume writing seminar & conducted mock phone interviews with a Microtrain career counselor. These two activities gave me a leg up on distinguishing myself from all the other people looking for work. Since the career counselor's at Microtrain had a track record of getting people hired, their insight and positive past experiences helped me tremendously in getting hired with a Cisco Voice Systems Integrator in the Chicago area. I was hired as a Cisco Voice Tech Engineer with a starting salary of $65,000 / year with a Cisco voice systems reseller located in the Chicagoland area. Microtrain was very instramental in making this a reality. From expediting my WIA grant, to providing excellent hands-on training from knowledgable instructors I was able to achieve becoming certified with my CCNP. Microtrain's career services was the final catalyst in connecting me with this company by communicating with them on my behalf and with me in setting up the interview. One week later and I was hired. No joke. Thanks Microtrain!
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Very thorough, good mix of lecture and lab work. Al is great! Keeps classes interesting and supplements required test material with need-to-know items from real world experience.
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PMP Certification Training, Lombard, 2008
I was laid off for many months and not really getting many callbacks for my resume and no job offers. After I put the letters PMP on it, not only did I see an increase in quantity, but also quality of interviews. I had been spinning my wheels for 5 months, and after the PMP went on, I had 2 job offers in 6 weeks. It really was the "golden ticket"
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Project Management
Great class, loved the interaction and team-building exercises. Plenty of materials and learning tools supplied. Although it was a full week's class, never boring. Donna [Russell] was awesome and gave many supporting examples for better understanding.
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