104 тысяч подписчиков
331 видео
66. Hyperparameter Tuning: Practical Implementation with Grid Search & Random Search 🎯💻
65. Mastering Hyperparameter Tuning: Techniques for Optimizing Machine Learning Models 🎯💡
64. Random Forest Implementation: Step-by-Step Guide From scratch and with Scikit-learn 🌳💻
63. Understanding Random Forest: Theory Behind This Powerful Algorithm 🌳🌟
62. Ensemble Learning: Mastering Bagging and Boosting Techniques 🌟🤖
61. Decision Tree Implementation: From Scratch & Using Scikit-learn 🌳💻
60. Decision Trees Explained The Theory Behind This Powerful Algorithm 🌳🔍
59. Implementing LDA & SVD Algorithms: A Step-by-Step Guide to Dimensionality Reduction 🛠️
58. LDA vs SVD: In-Depth Theory Behind Two Powerful Dimensionality Reduction Algorithms 📚🔍
57. Mastering t-SNE: Theory and Practical Implementation for Data Visualization 🌟🔍
56. The Need for Dimensionality Reduction: Exploring PCA (Principal Component Analysis) 🔍📉
55. Correlation & Covariance: Understanding Key Differences and Applications 🔍🔢
3. Library Management System - Creating Database and Connection With Project
13. Linear Regression - Simple Implementation using numpy || Data Science
4.Library Management System - Authentication of Login Page with Database
32. Multiclass Challenges: Logistic Regression in Complex Classification
2.Creating Database - Employee Management System
28. Value Iteration using Python || End to End AI Tutorial
2. End-to-End MLOps Project using one component on Azure | End to End Deployment | Data Science
4. End-to-End MLOps Project using MlfLow on Databricks | End to End Deployment | Data Science
8. Library Management System - Issue Book Part 2
19. 🎥 Gradient Decent : Unveiling Types of Gradient Descent and Its Challenges⚙️📉
47. Unveiling DBSCAN Clustering: Intuition and Practical Implementation 🌐🔍
35. Mastering AUC-ROC Curve: Theory and Implementation Guide 📈🔍
44. Hands-On KMeans Clustering: A Step-by-Step Implementation Guide 🛠️🔍
16. Optimizing Advertisements: Linear Regression || Targeted Campaigns || Data Science Project