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Code with me
Добавлен 21 окт 2022
Learn code with me, from beginner level to pro.
You can also join me in helping others to code.
Learn everything about code, latest tech trends, Web Development, App Development, Frameworks, Interview Preparations.
On going - 100 Days of Python Series!
You can also join me in helping others to code.
Learn everything about code, latest tech trends, Web Development, App Development, Frameworks, Interview Preparations.
On going - 100 Days of Python Series!
Web Scraping and Automation with Selenium | 100 Days of Python: Day 56
Welcome to Day 56 of the 100 Days of Python series! In this video, we're diving deep into web scraping and automation. Learn how to:
Master advanced web scraping techniques for complex websites
Automate browser tasks using Selenium
Build a real-world web scraper for e-commerce data extraction
Whether you're a data enthusiast or looking to automate repetitive tasks, this tutorial has got you covered. Don't forget to like, subscribe, and hit the bell for daily Python tips and tricks!
Tags:
Python, Web Scraping, Selenium, Browser Automation, Python Web Scraping, Data Extraction, Python Automation, 100 Days of Python, Python Tutorial, Real-World Web Scraping, E-commerce Scraping, Python for Beginne...
Master advanced web scraping techniques for complex websites
Automate browser tasks using Selenium
Build a real-world web scraper for e-commerce data extraction
Whether you're a data enthusiast or looking to automate repetitive tasks, this tutorial has got you covered. Don't forget to like, subscribe, and hit the bell for daily Python tips and tricks!
Tags:
Python, Web Scraping, Selenium, Browser Automation, Python Web Scraping, Data Extraction, Python Automation, 100 Days of Python, Python Tutorial, Real-World Web Scraping, E-commerce Scraping, Python for Beginne...
Просмотров: 0
Видео
Data Visualization with Seaborn and Plotly | 100 Days of Python: Day 55
Просмотров 2411 часов назад
Welcome to Day 55 of the 100 Days of Python series! Today, we're diving into data visualization with Seaborn and Plotly. Learn how to: Create advanced plots with Seaborn Develop interactive visualizations using Plotly Visualize complex data patterns for better insights By the end of this video, you'll be able to create beautiful and interactive plots that bring your data to life. Perfect for da...
How to Deploy Machine Learning Models | 100 Days of Python: Day 54
Просмотров 3314 часов назад
Welcome to Day 54 of the 100 Days of Python series! Today, we're taking our machine learning models to the next level by deploying them in real-world applications. In this video, you'll learn: How to export and save trained models in Python Creating a simple web API with Flask to serve your model Deploying your model on cloud platforms like Heroku By the end of this tutorial, you'll have a full...
What are Recurrent Neural Networks | RNNs | 100 Days of Python: Day 53
Просмотров 2116 часов назад
Welcome to Day 53 of the 100 Days of Python series! Today, we dive into Recurrent Neural Networks (RNNs) and their powerful capabilities with sequential data. In this video, we cover: Understanding sequential data and the basics of RNNs Building an RNN architecture for sequence prediction Exploring applications like text generation with LSTM layers Join us as we build and train RNNs using Tenso...
What are Convolutional Neural Networks | CNNs | 100 Days of Python: Day 52
Просмотров 4419 часов назад
Welcome to Day 52 of the 100 Days of Python series! Today, we dive into Convolutional Neural Networks (CNNs) and their application in image classification. In this video, we cover: Introduction to CNNs and image classification Building a CNN architecture Transfer learning with pre-trained models Follow along as we build a CNN using TensorFlow and Keras and explore transfer learning with the VGG...
Deep Learning with TensorFlow and Keras | 100 Days of Python: Day 51
Просмотров 2221 час назад
Welcome to Day 51 of the 100 Days of Python series! Today, we dive deeper into deep learning with TensorFlow and Keras. In this video, we cover: Understanding TensorFlow and its ecosystem Building complex neural networks Training, evaluating, and fine-tuning models Follow along as we build a convolutional neural network to classify images from the CIFAR-10 dataset. Don’t forget to like, subscri...
What is Deep Learning | What are Neural Networks | 100 Days of Python: Day 50
Просмотров 4023 часа назад
Welcome to Day 50 of the 100 Days of Python series! Today, we dive into the exciting world of Deep Learning. In this video, we cover: What is deep learning? Neural networks and their components Building a basic neural network using Keras Follow along as we explore the fundamentals of deep learning and create a simple neural network to classify handwritten digits. Don’t forget to like, subscribe...
Natural Language Processing (NLP) - Part 2 | 100 Days of Python: Day 49
Просмотров 893День назад
Welcome to Day 49 of the 100 Days of Python series! Today, we're diving deeper into Natural Language Processing (NLP). In this video, we cover: Introduction to NLTK and SpaCy libraries Named Entity Recognition (NER) Sentiment Analysis using NLP techniques Follow along as we explore powerful NLP libraries and techniques to analyze text data. Don’t forget to like, subscribe, and hit the bell icon...
Natural Language Processing | NLP - Part 1 | 100 Days of Python: Day 48
Просмотров 119День назад
Welcome to Day 48 of the 100 Days of Python series! Today, we're diving into Natural Language Processing (NLP). In this video, we cover: Basics of working with text data Tokenization and stemming Creating a simple text classification model Follow along as we preprocess text data and build a simple text classification model using Python. Don’t forget to like, subscribe, and hit the bell icon to ...
Unsupervised Learning - Dimensionality Reduction | Machine Learning | 100 Days of Python: Day 47
Просмотров 85День назад
Welcome to Day 47 of the 100 Days of Python series! Today, we're diving into unsupervised learning with a focus on dimensionality reduction. In this video, we cover: Understanding dimensionality reduction Principal Component Analysis (PCA) t-SNE for visualizing high-dimensional data Follow along as we reduce the dimensions of our datasets using Python. Don’t forget to like, subscribe, and hit t...
What is Unsupervised Learning | What is Clustering | 100 Days of Python: Day 46
Просмотров 63День назад
Welcome to Day 46 of the 100 Days of Python series! Today, we're diving into unsupervised learning with a focus on clustering. In this video, we cover: Introduction to clustering algorithms K-means clustering and hierarchical clustering Evaluating clustering results Follow along as we build and evaluate clustering models using Python. Don’t forget to like, subscribe, and hit the bell icon to st...
What is Classification in Machine Learning | Supervised Learning |100 Days of Python: Day 45
Просмотров 63День назад
Welcome to Day 45 of the 100 Days of Python series! Today, we're diving into supervised learning with a focus on classification. In this video, we cover: Introduction to classification problems Common algorithms like logistic regression, decision trees, and k-nearest neighbors Model evaluation metrics: accuracy, precision, recall, F1-score Follow along as we build and evaluate classification mo...
How to upload IOS App to AppStore
Просмотров 75День назад
Are you ready to share your iOS app with the world? In this tutorial, we'll walk you through the entire process of uploading your iOS app to the App Store. From setting up your Apple Developer account to submitting your app for review, we've got you covered with detailed, easy-to-follow steps. Whether you're a seasoned developer or a beginner, this guide will help you navigate the complexities ...
What is Supervised Learning | What is Linear Regression | 100 Days of Python: Day 44
Просмотров 153День назад
Welcome to Day 44 of the 100 Days of Python series! Today, we're diving into supervised learning with a focus on regression. In this video, we cover: Linear regression fundamentals Training and evaluating regression models Dealing with overfitting and underfitting Follow along as we build and evaluate a regression model using Python. Don’t forget to like, subscribe, and hit the bell icon to sta...
What is Machine Learning | 100 Days of Python: Day 43
Просмотров 184День назад
What is Machine Learning | 100 Days of Python: Day 43
What is Exploratory Data Analysis (EDA) | 100 Days of Python: Day 42
Просмотров 19914 дней назад
What is Exploratory Data Analysis (EDA) | 100 Days of Python: Day 42
Data Cleaning and Pre-processing | 100 Days of Python: Day 41
Просмотров 47514 дней назад
Data Cleaning and Pre-processing | 100 Days of Python: Day 41
Data Science with Python | 100 Days of Python: Day 40
Просмотров 34614 дней назад
Data Science with Python | 100 Days of Python: Day 40
Consuming APIs with Python | 100 Days of Python: Day 39
Просмотров 5314 дней назад
Consuming APIs with Python | 100 Days of Python: Day 39
What are RESTful APIs | 100 Days of Python: Day 38
Просмотров 5414 дней назад
What are RESTful APIs | 100 Days of Python: Day 38
Top 10 Coding Interview Questions and Answers
Просмотров 11814 дней назад
Top 10 Coding Interview Questions and Answers
Building Web Applications with Django - Part 2 | 100 Days of Python: Day 37
Просмотров 12914 дней назад
Building Web Applications with Django - Part 2 | 100 Days of Python: Day 37
Building Web Applications with Django - Part 1 | 100 Days of Python: Day 36
Просмотров 9714 дней назад
Building Web Applications with Django - Part 1 | 100 Days of Python: Day 36
Introduction to Django Framework | 100 Days of Python: Day 35
Просмотров 25421 день назад
Introduction to Django Framework | 100 Days of Python: Day 35
How to Build Web Applications with Flask - Part 2 | 100 Days of Python: Day 34
Просмотров 10921 день назад
How to Build Web Applications with Flask - Part 2 | 100 Days of Python: Day 34
Building Web Applications with Flask - Part 1 | 100 Days of Python: Day 33
Просмотров 14321 день назад
Building Web Applications with Flask - Part 1 | 100 Days of Python: Day 33
Web Development with Flask | 100 Days of Python: Day 32
Просмотров 34821 день назад
Web Development with Flask | 100 Days of Python: Day 32
Advanced SQL and Database Interactions | 100 Days of Python: Day 31
Просмотров 17721 день назад
Advanced SQL and Database Interactions | 100 Days of Python: Day 31
SQL and SQLite | Basics, Database Setup, and Queries | 100 Days of Python: Day 30
Просмотров 10821 день назад
SQL and SQLite | Basics, Database Setup, and Queries | 100 Days of Python: Day 30
What is NumPy | Arrays, Operations, and Functions | 100 Days of Python: Day 29
Просмотров 6221 день назад
What is NumPy | Arrays, Operations, and Functions | 100 Days of Python: Day 29
Can you make end to end nlp project
@@News-Trending of course will do that.
Mrbeast is having 300M bro 😂
Congratz da
How does it know that 'programming' has to be stemmed into exactly 'program' and not something else
Stemming knows to reduce "programming" to "program" by using pre-defined rules and algorithms that identify and remove common suffixes, such as "ing," while considering language-specific patterns and exceptions.
Hi, when do we know if we have to normalize or scale our features before machine learning?
Hi, You should normalize or scale your features when they have different ranges or units, particularly for algorithms that are sensitive to feature magnitudes, such as k-nearest neighbors, support vector machines, and gradient descent-based methods. I will upload a video on this topic, please turn your notifications on. Thanks
bro ur work is excellent, well done
Thank you 🙏
Congrats
Congrats for your achievement. Good luck
Thank you 😀🙏
200 ❌ 2000 ✅
I’m your 208th subscriber 😀
Thanks for subscribing, enjoy the coding 🙂🙏
You will reach more milestones 🎊🎉
Thank you 🙏
It's so jarring to keep hearing _"Dango"_ instead of _"Django"_ 😵💫
Got it! Thanks for pointing that out. I'll make sure to pronounce it correctly as "Django" in the next videos. 👍
I am your 159th Subscriber ❤
Thanks for subscribing, enjoy the coding 🙂
keep up the great work! hope this comment help to pump the YTalgoritm.
its better to clearify that plt in the plot section is the call for matplotlib that when is imported from us is renamed plt. the code is ' Import matplotlib as plt' thats becouse is shorter to call matplotlib functions as plt insted of writing every time matplotlib.whatever. In the video was not told so i covered you bro.
im learning python for data analysis and i will speed run all your videos to mastering this languege.
I want to work with you and make slides
Nice keep it up
how do you setup the iOS app?
When you open the downloaded file in Xcode, there will be documentation with setup instructions. Please turn on your notifications; I will post a video regarding this topic😃
@@codewithme1518 thank you😁👍
2 minutes indeed🤮
better than my lecturer 👏
Much better than your older stuff. Great job
Thankyou 🙂🙏
excellent introduction! 😊👍👌
Thank you! 😃
ｐｒｏｍｏｓｍ 😚
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