Machine Learning Video Course
Budget: ₹600 – ₹1,500 INR
I need a complete, beginner-friendly Machine Learning course that I can host online. The audience has no prior ML background, so each concept must be introduced from scratch and presented in clear, simple English.
BUDGET:₹500 ONLY PLEASE ONLY BID IF YOU ARE INTRESTED IN THIS PRICE SO THAT BOTH NO NEED TO WASTE TIME
Scope of content
– Foundations: supervised, unsupervised and reinforcement learning
– Core algorithms: Linear & Logistic Regression, Decision Trees, Random Forests, SVM
– Clustering: K-means and Hierarchical
– Dimensionality reduction: PCA
– Model evaluation: confusion matrix, precision, recall, accuracy
– Intro to deep learning: the basics of neural networks
– Mini-projects: spam detection, stock-price prediction and image classification (all delivered as guided, step-by-step tutorials)
Course structure
• 10–20 minute recorded lectures, screen-capture plus voice-over
• Matching slide deck or PDF notes for each lecture
• Fully commented source code and ready-to-use datasets for every project
Deliverables
1. HD video files (MP4 or similar) organised by module
2. Slide/PDF bundle per lecture
3. Jupyter notebooks or .py scripts, plus datasets, zipped by project
4. A brief README explaining how the files are organised and how learners can launch each project environment
All material must be original, royalty-free and ready for immediate upload to my platform. The total budget is firmly capped at ₹500, so please be sure the scope and price work for you before committing.
BUDGET:₹500 ONLY PLEASE ONLY BID IF YOU ARE INTRESTED IN THIS PRICE SO THAT BOTH NO NEED TO WASTE TIME
Scope of content
– Foundations: supervised, unsupervised and reinforcement learning
– Core algorithms: Linear & Logistic Regression, Decision Trees, Random Forests, SVM
– Clustering: K-means and Hierarchical
– Dimensionality reduction: PCA
– Model evaluation: confusion matrix, precision, recall, accuracy
– Intro to deep learning: the basics of neural networks
– Mini-projects: spam detection, stock-price prediction and image classification (all delivered as guided, step-by-step tutorials)
Course structure
• 10–20 minute recorded lectures, screen-capture plus voice-over
• Matching slide deck or PDF notes for each lecture
• Fully commented source code and ready-to-use datasets for every project
Deliverables
1. HD video files (MP4 or similar) organised by module
2. Slide/PDF bundle per lecture
3. Jupyter notebooks or .py scripts, plus datasets, zipped by project
4. A brief README explaining how the files are organised and how learners can launch each project environment
All material must be original, royalty-free and ready for immediate upload to my platform. The total budget is firmly capped at ₹500, so please be sure the scope and price work for you before committing.