Theano is an open source project that was developed by the MILA group at the University of Montreal, Quebec, Canada. It was the first widely used Framework. It is a Python library that helps in multi-dimensional arrays for mathematical operations using Numpy or Scipy. Theano can use GPUs for...
AI and ML models.Data preprocessing plays a key role in early stages of ML and AI application development. In an AI context, data preprocessing is used to improve the way data is cleansed, transformed and structured to enhance the accuracy of a model while reducing the amount of compute requ...
Different tasks in Machine Learning Build Your First Predictive Model Evaluation Metrics Preprocessing Data Linear Models KNN Selecting the Right Model Feature Selection Techniques Decision Tree Feature Engineering Naive Bayes Multiclass and Multilabel Basics of Ensemble Techniques Advance Ensemble Techniques Hy...
Pythonis a versatile, general-purpose programming language that has become one of the most widely used languages for data analysis. Known for its readability and extensive library ecosystem (e.g.,Pandas,NumPy,Matplotlib), Python enables data miners to handle a variety of tasks, including data cle...
Our course, Preprocessing for Machine Learning in Python, explores how to get your cleaned data ready for modeling. Step 3: Choosing the right model Once the data is prepared, the next step is to choose a machine learning model. There are many types of models to choose from, including ...
The preprocessing may include resizing, contrast enhancement, binarization, noise reduction, and other techniques. 3. Text detection: First, the computer vision model detects the regions of interest in the input image that may contain text. This process is called text detection, and it is done ...
I recommend taking theIntroduction to Natural Language Processing in Pythoncourse to learn more about the preprocessing techniques and dive deep into the world of tokenizers. Want tolearn more about AI
While learning Object-Oriented Programming (oops concepts), I decided to dive into its history to fully know what is oops concept and it turned out to be fascinating. The term “Object-Oriented Programming” (OOP), also known as OOPs principles in python, was coined by Alan Kay around 1966...
He is a Computer Science graduate from the University of Central Asia, currently employed as a full-time Machine Learning Engineer at uExel. His expertise lies in Python, Java, Machine Learning, OCR, text extraction, data preprocessing, and predictive models. You can connect with him on his ...
Seamless Integration: Easily integrates into Python, Java, and C++ applications. Image Preprocessing Compatibility: Works well with libraries like OpenCV for enhanced image quality. 3. EasyOCR EasyOCR, an open-source Python library, streamlines OCR tasks by making text extraction from images and docume...