Epython Lab
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Welcome to Epython Lab, where you can get resources to learn, one-on-one trainings on machine learning, business analytics, and Python, and solutions for business problems. Buy ads: https://telega.io/c/epythonlab
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Waiting for Creating database, collections, and documents using mongodb playground in visual studio code. We will be delivered tomorrow at the same time.
Stay Tuned!!!
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📚 5 Free Books on Natural Language Processing to Read in 2024
1. Speech and Language Processing
Authors: Dan Jurafsky and James H. Martin
2. Foundations of Statistical Natural Language Processing
Authors: Christopher D. Manning and Hinrich Schütze
3. Pattern Recognition and Machine Learning
Author: Christopher M. Bishop
4. Neural Network Methods in Natural Language Processing
Author: Yoav Goldberg
5. Practical Natural Language Processing
https://epythonlab.t.me/
#books #python #machinelearning #nlp
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Repost from Epython Lab
How to build your own Machine Learning Pipeline using Python
[like, share, comment]
https://www.youtube.com/watch?v=qEsk9mbsvYg
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How to Prioritize Tasks
- To have efficient time management prioritization techniques are very important.
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Repost from Epython Lab
Interpreter Vs Compiler Note
https://youtu.be/cChdA70hnaU
@epythonlab #keynotes
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🙄Beginners are getting confused about "is Python a scripting or Programming language?"
Therefore, to get a better understanding before you get started Python 🐍🐍, take a look at this tutorial. https://youtu.be/ul3O7ApPQ5Q
In this tutorial, you will get a better answer about your questions.
#python #programming #language
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Top 10 Python Projects for Beginners to Level Up Your Skills
https://medium.com/@epythonlab/top-10-python-projects-for-beginners-to-level-up-your-skills-be54d9509cb5
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Forecasting vs Time Series Analysis
Time Series Analysis
Purpose: Examines historical data to identify patterns, trends, and seasonality.
Techniques: Includes decomposition, autocorrelation, and smoothing.
Goal: Understand data structure and historical behavior.
Forecasting
Purpose: Predicts future values based on historical data.
Techniques: Uses models like ARIMA, Exponential Smoothing, and machine learning.
Goal: Make accurate future predictions.
Key Differences
Focus: Time series analysis focuses on understanding data, while forecasting aims to predict future values.
Relationship: Time series analysis informs forecasting by revealing patterns used to build predictive models.
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Time series analysis is used when dealing with data collected over time. Learn how to perform a simple time series analysis and plot a time series line graph: https://youtu.be/1w7WLcy2LBY
Don't forget to subscribe🙏
Join Telegram: https://epythonlab.t.me/
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Dear Learners,
We're here to support you if you have any kind of questions. Ask anything related to python and ml in the comment section.
Thanks for supporting us.
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Benefits of Python for Database Programming
- Python is a popular scripting language to connect to the database and analyzes the data.
- Python ecosystem: - NumPy, pandas, matplotlib, SciPy
- Ease of use
- Python supports relational database systems
- Python database API's to connect to the database
- Detailed documentation: The python is easily available
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A technique used to extract features from the text. It counts how many times a word appears in a document (corpus), and then transforms that information into a dataset.
https://youtu.be/tn-Tvi8CHmg
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Repost from Epython Lab
In this topic modeling project-based tutorial, I have gone through the following steps:
1. Loads the documents(Generating sample documents)
2. Preprocesses the text by removing stop words and stemming words.
3. Creates a TF-IDF vector representation of the documents.
4. Performs LDA topic modeling with the specified number of topics.
5. Extracts the document-topic weight matrix.
6. Prepares the data for CSV format, including document IDs and topic weights.
7. Saves the results to the specified CSV file. https://youtu.be/uJCB2hRCB60
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+1
You can learn Probability Distribution for Machine Learning with Python Visualization https://bit.ly/495L8b5
🔗 Link to Linear Regression https://bit.ly/46rqiBu
🔗 Link to Linear Algebra https://bit.ly/45EpfwB
🔗 Link to Telegram Group https://bit.ly/3IR1lnm
#python #machinelearning #projects #probability #epythonlab
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MongoDB Basics and Setup: Your First Steps with MongoDB and VS Code : https://www.youtube.com/watch?v=nm-7rM5mnYE
Next we will share you how to create collections and read data. Stay tuned!!
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Dear Learners,
Today, we will release the first episode of how to setup MongoDb in Vs Code for better code management.
Stay Tuned.
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Detecting and removing outliers using boxplot
https://youtu.be/YfNfjqY6x0o
How to Detect and Remove Outliers using Interquantile Range in Python
https://www.youtube.com/watch?v=d-EdtWN9epg&list=PL0nX4ZoMtjYEYGxhBRtFk9aIgEt9uDuCV&index=4
