Machine learning
"Machine Learning: Where Data Meets Intelligence for Transformative Impact."
"Embark on a transformative journey into the realm of machine learning with our comprehensive course. Explore foundational concepts including supervised and unsupervised learning, algorithms, and model evaluation. Dive deep into popular machine learning techniques such as regression, classification, clustering, and neural networks. Master tools and libraries like Python, scikit-learn, and TensorFlow. Gain practical experience through hands-on projects and real-world applications, empowering you to unlock insights from data and build intelligent systems."
Course Overview
📗Introduction to Machine Learning:
Learn key concepts, types
of machine learning (supervised, unsupervised, reinforcement),
and their practical applications.
📗Data Preprocessing:
Understand how to clean, normalize, and
prepare data for effective machine learning models.
📗Model Building and Evaluation:
Explore various algorithms
like decision trees, SVM, and neural networks, and learn how to
evaluate their performance.
📗Ensemble Methods and Optimization:
Dive into techniques
like boosting, bagging, and optimization methods for improving
model accuracy.
📗Real-World Applications:
Apply machine learning techniques
to solve practical problems in areas like finance, healthcare, and
autonomous vehicles
> Introduction to AI
>Software setup
>Linear Regression
>Logistic Regression
>KNN
>Naïve bayes
Decision Trees
>Random Forest
>Bagging
>Boosting
>DBSCAN
>CNN
>RNN
>GRU
>Coad Vance AI
>(LLM)
>major projects
"Learnflu offers a dynamic platform for seamless knowledge acquisition, combining interactive learning modules with engaging content. Their innovative approach fosters effective learning experiences tailored to diverse educational needs."
Sravani
