Random Forest Algorithm Python
A Random Forest is an ensemble learning method for classification, regression, and other tasks that involve decision trees. It works by combining the predictions from multiple individual decision trees to improve accuracy and reduce overfitting. Here’s an example of using the Random Forest algorithm in Python with the popular scikit-learn library from sklearn.datasets import load_iris…
Bubble Sort Algorithm Python
Bubble Sort is a simple sorting algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order. The pass through the list is repeated until no swaps are needed, which indicates that the list is sorted. Here’s a Python program that demonstrates the Bubble Sort algorithm:…
Quick Sort Algorithm Python
Quick Sort is a highly efficient and widely used sorting algorithm that works by selecting a ‘pivot’ element from the array and partitioning the other elements into two sub-arrays, according to whether they are less than or greater than the pivot. The process is then applied recursively to the two sub-arrays until the entire array…
Selection Sort Algorithm Python
Selection sort is a simple sorting algorithm that works by repeatedly selecting the minimum (or maximum, depending on the sorting order) element from an unsorted part of the array and putting it at the beginning of the sorted part. Here’s a Python program that demonstrates a use case for selection sort. def selection_sort(arr): n =…
Merge Sort Algorithm
Merge sort is a popular sorting algorithm that uses a divide-and-conquer approach to sort a list or array of elements. It works by recursively dividing the input into smaller sublists, sorting them individually, and then merging them back together into a single sorted list. Merge sort is efficient and stable, making it suitable for a…
Binary Search Algorithm
We’ll be looking at some algorithms. Say you have a large index of lastname, firstname pair arranged in alphabetical order and you want to search for a specific name. A linear search will get this done but as you scale up your application into hundreds of thousands or millions of records, it’s going to slow…
Using The History Command To Write Scripts
Writing scripts using the `history` command is not a common practice because the `history` command itself is primarily used for viewing and managing command-line history in Unix-like operating systems (e.g., Linux, macOS). However, you can use the output of the `history` command to create scripts or automate tasks based on your command history. Here’s how…
NLTK Files Added to Github
Pegicorn Technologies NLTK Repository NLTK projects uploaded to Github. The indentations are right.
Graphing Sentiment Analysis Python NLTK MatPlotLib
#!/usr/bin/python import nltk from nltk.sentiment import SentimentIntensityAnalyzer import matplotlib.pyplot as plt # Download the VADER lexicon (if not already downloaded) nltk.download(“vader_lexicon”) # Create a list of movie reviews movie_reviews = [ “This movie is fantastic! I was thrilled from start to finish.”, “The acting was terrible, and the plot made no sense.”, “I loved the…
Sentiment Analysis With Python NLTK
Sentiment analysis is a natural language processing (NLP) technique that determines the sentiment or emotional tone expressed in a piece of text, such as positive, negative, or neutral. In this example, I’ll provide a Python program that demonstrates sentiment analysis using the NLTK library to analyze the sentiment of movie reviews. import nltk from nltk.corpus…
Comments
Post a Comment