Machine Learning Algorithms: KNN, LWR, Random Forest, SVM

K-Nearest Neighbors (KNN) Algorithm Implementation

This section demonstrates the implementation of the K-Nearest Neighbors (KNN) algorithm using the Iris dataset in Python with scikit-learn.

Python Code for KNN

from sklearn.datasets import load_iris
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import train_test_split
import numpy as np

# Load the Iris dataset
dataset = load_iris()

# Split the dataset into training and test sets
X_train, X_test, y_train, y_test =
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Deep Learning for Image Classification and Stock Prediction

Deep Learning Models for Image and Time Series Analysis

This document demonstrates the application of two prominent deep learning architectures: Convolutional Neural Networks (CNNs) for image classification and Long Short-Term Memory (LSTM) networks for time series forecasting. Each section provides a step-by-step implementation, from data preparation to model evaluation and prediction.

Convolutional Neural Networks for Image Classification

This section details the process of building and training

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Networking Protocols: CSMA/CD, VTP, FTP, HDLC & More

Networking Protocols Explained

CSMA/CD (Carrier Sense Multiple Access with Collision Detection)

Carrier Sense Multiple Access with Collision Detection (CSMA/CD) is a network protocol for carrier transmission that operates in the Medium Access Control (MAC) layer. It senses or listens to whether the shared channel for transmission is busy or not, and defers transmissions until the channel is free. The collision detection technology detects collisions by sensing transmissions from other stations.

VTP

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Data Link Layer: Protocols and Topologies

The data link layer provides a means to exchange data using common local media. It performs two basic services:

  • Allows upper layers to access the media using techniques such as frames.
  • Controls how data is placed in and received from the media using techniques such as media access control and error detection.

The frame is a key element of each data link layer protocol. Data link layer protocols include control information that enables the protocols to function. This control information may indicate:

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