A 'predict' method that predicts the class labels for a set of data points. It calls '_predict_single' method that actually predicts the class label for a single data point.
@sumanth_077
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Implementing fit method and euclidean distance in KNN
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Next define the "fit" method that takes the training data(X) and it's corresponding labels(y) and stores them. This is the reason why the computation cost is high as it stores all the training data! And also a method to calculates the euclidean distance between two data points.
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KNNClassifier Class Initialization and K Parameter Selection
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Define the KNNClassifier class and initialize the number of Neighbours (k) to be considered in __init__ method Defining the K value is critical in KNN! A small value of k means noise will have a higher influence on the result and a large value makes it computationally expensive
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K-Nearest Neighbours Algorithm Implemented from Scratch Python
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K-Nearest Neighbours (KNN), implemented from scratch in Python:
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Daily Content on Python Data Science Machine Learning and LLMs
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That's a wrap! If you are interested in any of these topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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Pandas AI: Data Cleaning, Feature Generation, and Visualization
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With Pandas AI you can: → Clean the Data
→ Impute missing values
→ Generate New features
→ Analyze and manipulate the data Not just that you can also ask it to plot the charts: Here is plotting Histogram with Pandas AI: -
PandasAI: Analyze DataFrames with Natural Language
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Python library that adds Generative AI capabilities to Pandas Introducing PandasAI, now you can analyze complex data frames and plot visualizations just by using natural language:
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50k Followers Milestone: Python, Data Science & MLOps Content
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We are 50k! Thank you everyone for all the support! If you are new here, I tweet about: – Python
– Data Science
– Machine Learning
– MLOps
– Building with LLMs Follow me if you haven't already Always looking to get better & create more value for the community! -
Daily Content on Python, Data Science, and Machine Learning
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That's a wrap! If you are interested in any of these topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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Project-Based Learning: Implement Concepts with Real-World Use Cases
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3. Project-Based Learning: Learning the concepts is great, but implementing them for real-world use cases will get your hands dirty. Check out the below repo. Also, leverage LLMs like ChatGPT and Claude 3.5 Sonnet to learn and build things quickly. https://
github.com/practical-tuto
rials/project-based-learning?tab=readme-ov-file#python
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