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Data Science and ML Notes in Hindi

Neeche diye gaye 190 topics mein se koi bhi chuno aur padhna shuru karo — sabhi notes latest syllabus ke hisaab se hain.

Topics 190

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01 What is Data Science? in hindi Read Topic 02 Data Science vs Machine Learning vs AI in hindi Read Topic 03 Real-world use cases of Data Science in hindi Read Topic 04 Data Science lifecycle (problem → data → model → deployment) in hindi Read Topic 05 Roles: Data Analyst, Data Scientist, ML Engineer in hindi Read Topic 06 VS Code / Jupyter Notebook in hindi Read Topic 07 Anaconda & Conda Environment in hindi Read Topic 08 Python Virtual Environments in hindi Read Topic 09 Google Colab (cloud notebooks) in hindi Read Topic 10 Git & GitHub basics in hindi Read Topic 11 Variables, Data Types in python in hindi in hindi Read Topic 12 Operators & Expressions in python in hindi in hindi Read Topic 13 Conditional Statements in python in hindi in hindi Read Topic 14 Loops in python in hindi in hindi Read Topic 15 Functions in python in hindi in hindi Read Topic 16 Strings & String Methods in python in hindi in hindi Read Topic 17 Lists, Tuples, Sets, Dictionaries in python in hindi in hindi Read Topic 18 File Handling in python in hindi Read Topic 19 JSON Handling in python in hindi in hindi Read Topic 20 Object Oriented Programming in python in hindi in hindi Read Topic 21 Lambda Functions & List Comprehensions in python in hindi in hindi Read Topic 22 Error Handling & Debugging in python in hindi in hindi Read Topic 23 Why NumPy? in hindi Read Topic 24 Arrays & Array Operations in NumPy in hindi Read Topic 25 Indexing & Slicing in NumPy in hindi Read Topic 26 Multidimensional Arrays in NumPy in hindi Read Topic 27 Broadcasting in NumPy in hindi Read Topic 28 Vectorized Computations in NumPy in hindi Read Topic 29 Mathematical Functions in NumPy in hindi Read Topic 30 Series & DataFrames in Pandas in hindi Read Topic 31 Importing CSV, Excel, JSON in Pandas in hindi Read Topic 32 Data Selection & Filtering in Pandas in hindi Read Topic 33 Handling Missing Values in Pandas in hindi Read Topic 34 Data Cleaning & Preprocessing in Pandas in hindi Read Topic 35 Data Transformation in Pandas in hindi Read Topic 36 Aggregation & GroupBy in Pandas in hindi Read Topic 37 Merge, Join, Concatenate in Pandas in hindi Read Topic 38 Pivot & Melt in Pandas in hindi Read Topic 39 Feature Engineering Basics in Pandas in hindi Read Topic 40 Why Data Visualization? in hindi Read Topic 41 Matplotlib:Line, Bar, Pie, Histogram in hindi Read Topic 42 Matplotlib Scatter Plot in hindi Read Topic 43 Matplotlib Subplots in hindi Read Topic 44 Seaborn: in hindi Read Topic 45 Seaborn Distribution plots in hindi Read Topic 46 Seaborn Categorical plots in hindi Read Topic 47 Seaborn Heatmaps in hindi Read Topic 48 Visual storytelling for data in hindi Read Topic 49 Types of Data in hindi Read Topic 50 Web Scraping Basics in hindi Read Topic 51 HTML for Scraping in hindi Read Topic 52 Requests Module in hindi Read Topic 53 BeautifulSoup in hindi Read Topic 54 APIs & JSON Data in hindi Read Topic 55 Ethics of Data Collection in hindi Read Topic 56 Databases & Tables in sql in hindi in hindi Read Topic 57 CRUD Operations in sql in hindi in hindi Read Topic 58 Constraints & Keys in sql in hindi in hindi Read Topic 59 Joins (Inner, Left, Right, Full) in sql in hindi in hindi Read Topic 60 Functions & Aggregations in sql in hindi in hindi Read Topic 61 Subqueries in sql in hindi in hindi Read Topic 62 Views & Indexes in sql in hindi in hindi Read Topic 63 Stored Procedures in sql in hindi in hindi Read Topic 64 SQL for Analytics in sql in hindi in hindi Read Topic 65 Basic Probability Concepts for ml in hindi Read Topic 66 Conditional Probability for ml in hindi Read Topic 67 Bayes’ Theorem for ml in hindi Read Topic 68 Random Variables for ml in hindi Read Topic 69 Uniform Distribution for ml in hindi Read Topic 70 Binomial Distribution for ml in hindi Read Topic 71 Normal Distribution for ml in hindi Read Topic 72 Central Limit Theorem for ml in hindi Read Topic 73 Real-life relevance in ML in hindi Read Topic 74 Mean, Median, Mode in Statistics in hindi Read Topic 75 Variance & Standard Deviation in hindi Read Topic 76 Correlation & Covariance in hindi Read Topic 77 Hypothesis Testing in hindi Read Topic 78 Sampling Techniques in hindi Read Topic 79 Outliers & Skewness in hindi Read Topic 80 Linear Algebra Basics for ML in hindi Read Topic 81 Vectors & Matrices for ML in hindi Read Topic 82 Dot Product for ML in hindi Read Topic 83 Calculus Basics for ML in hindi Read Topic 84 Derivatives for ML in hindi Read Topic 85 Partial Derivatives for ML in hindi Read Topic 86 Why Math matters in ML in hindi Read Topic 87 What is Machine Learning? in hindi Read Topic 88 How Machines Learn in hindi Read Topic 89 ML Workflow in hindi Read Topic 90 Applications of ML in hindi Read Topic 91 Supervised Learning in hindi Read Topic 92 Unsupervised Learning in hindi Read Topic 93 Reinforcement Learning in hindi Read Topic 94 Differences between them in hindi Read Topic 95 What is Regression? in hindi Read Topic 96 Types of Regression Techniques in hindi Read Topic 97 Linear Regression in hindi Read Topic 98 Concept of Regression in hindi Read Topic 99 Mathematical Explanation of Regression in hindi Read Topic 100 Cost Function for Regression in hindi Read Topic 101 Gradient Descent for Regression in hindi Read Topic 102 Normal Equation for Regression in hindi Read Topic 103 Python Implementation of Regression in hindi Read Topic 104 Univariate & Multivariate Regression in hindi Read Topic 105 Locally Weighted Regression in hindi Read Topic 106 Regression Evaluation Metrics in hindi Read Topic 107 Regression Evaluation Metric MAE in hindi Read Topic 108 Regression Evaluation Metric MSE in hindi Read Topic 109 Regression Evaluation Metric RMSE in hindi Read Topic 110 Regression Evaluation Metric MAPE in hindi Read Topic 111 Regression Evaluation Metric R² Score in hindi Read Topic 112 What is Classification in ml in hindi Read Topic 113 Binary vs Multiclass Classification in ml in hindi Read Topic 114 Classification vs Regression in ml in hindi Read Topic 115 Logistic Regression in ml in hindi Read Topic 116 Why Logistic Regression in ml in hindi Read Topic 117 Cost Function of Classification in ml in hindi Read Topic 118 Python Implementation of Classification in hindi Read Topic 119 TensorFlow Implementation of Classification in ml in hindi Read Topic 120 Naive Bayes Classifier of Classification in ml in hindi Read Topic 121 Support Vector Machine (SVM) in hindi Read Topic 122 Linear & Non-linear SVM in hindi Read Topic 123 Kernel Trick of Classification in ml in hindi Read Topic 124 Hyperparameter Tuning (GridSearchCV) in hindi Read Topic 125 Decision Tree Classifier in ml in hindi Read Topic 126 Random Forest Classifier in ml in hindi Read Topic 127 Ensemble Learning in ml in hindi Read Topic 128 Voting Classifier in ml in hindi Read Topic 129 Bagging Classifier in ml in hindi Read Topic 130 Gradient Descent Algorithm in hindi Read Topic 131 Batch Gradient Descent in hindi Read Topic 132 Stochastic Gradient Descent (SGD) in hindi Read Topic 133 Mini-Batch Gradient Descent in hindi Read Topic 134 Optimization Techniques in hindi Read Topic 135 Momentum-based Optimizers in hindi Read Topic 136 Bias-Variance Trade-Off Overfitting in hindi Read Topic 137 Bias-Variance Trade-Off Underfitting in hindi Read Topic 138 Bias-Variance Trade-Off Bias vs Variance in hindi Read Topic 139 Bias-Variance Trade-Off Model Generalization in hindi Read Topic 140 Model Evaluation & Validation in ml Train, Validation, Test Split in ml in hindi Read Topic 141 Cross-Validation Techniques in ml in hindi Read Topic 142 Classification Metrics:Accuracy in Machine Learning in hindi Read Topic 143 Classification Metrics:Precision in hindi Read Topic 144 Classification Metrics:Recall in hindi Read Topic 145 Classification Metrics: F1 Score in hindi Read Topic 146 Classification Metrics: Confusion Matrix in hindi Read Topic 147 Classification Metrics: ROC Curve in hindi Read Topic 148 Regression Metrics (Revisited) in hindi Read Topic 149 Hyperparameter Tuning in hindi Read Topic 150 What are Hyperparameters? in hindi Read Topic 151 GridSearchCV in hindi Read Topic 152 RandomizedSearchCV in hindi Read Topic 153 Biological Neuron vs Artificial Neuron in hindi Read Topic 154 Single Layer Perceptron in hindi Read Topic 155 Multi-Layer Perceptron (MLP) in hindi Read Topic 156 Feed-Forward Neural Networks in hindi Read Topic 157 Neural Network Layers in hindi Read Topic 158 Training Neural Networks in hindi Read Topic 159 Forward Propagation in NN in hindi Read Topic 160 Backpropagation in NN in hindi Read Topic 161 Cost Functions in NN in hindi Read Topic 162 Gradient Descent in NN in hindi Read Topic 163 Activation Functions in NN in hindi Read Topic 164 Sigmoid in NN in hindi Read Topic 165 Tanh in NN in hindi Read Topic 166 ReLU in NN in hindi Read Topic 167 Softmax in NN in hindi Read Topic 168 Vanishing & Exploding Gradient Problem in NN in hindi Read Topic 169 Choosing Epochs in NN in hindi Read Topic 170 Fine-Tuning Hyperparameters in NN in hindi Read Topic 171 Deep Learning Frameworks in hindi Read Topic 172 TensorFlow in deep learning in hindi Read Topic 173 Keras in deep learning in hindi Read Topic 174 PyTorch (comparison) in deep learning in hindi Read Topic 175 Large Language Models (LLMs) in hindi Read Topic 176 What are LLMs? in hindi Read Topic 177 How LLMs work in hindi Read Topic 178 RAG (Retrieval Augmented Generation) in hindi Read Topic 179 Use cases in Data Science in hindi Read Topic 180 MLOps Basics (Added – Industry Demand) in hindi Read Topic 181 Model Deployment Basics in hindi Read Topic 182 Model Persistence in hindi Read Topic 183 Inference in hindi Read Topic 184 Versioning in hindi Read Topic 185 Monitoring Models in hindi Read Topic 186 Web Development for Data Scientists in hindi Read Topic 187 HTML & CSS Basics in hindi Read Topic 188 Flask Framework in hindi Read Topic 189 APIs in hindi Read Topic 190 Connecting ML models to web apps in hindi Read Topic

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