Category: Python
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Top 5 Data Science & Analytics Online Courses
There is an increasing demand for data science experts in different industries today. In this data-driven economy, it is only natural for data to be a valuable asset in the efficient working of an organization. However, finding a job in this sector requires you to have a set of certain skills and some solid educational […]
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Resources to learn Linear Regression
Linear regression shows the linear relationship between the independent(predictor) variable i.e.Linear regression is a quiet and the simplest statistical regression method used for predictive analysis in machine learning. How a Math equation is used in building a Linear Regression model? Do you know that this one equation helps in building a linear regression model in the machine learning world? Yes, you heard it right.From the school days, we have come across the equation of the straight line.
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Natural Language Processing Usecases with Python
1. Master Natural Language Processing in 2022 with Best Resources As already mentioned earlier, Deep Learning is a subdomain of machine learning. It is far more generalized as it comes up with generalized predictions compared to traditional machine learning due to the introduction of Artificial Neural Networks or ANN. Practicing NLP with Deep Learning is an […]
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Basics of Data Science using Python
Basics of Data Science using Python After going through the topic above, what are the questions that come to your mind? It must be, why python? How can we use python to implement data science? And, what are the advantages and disadvantages? We will be answering all these questions and we are also going to talk about the libraries that we can use to implement data science. 1. NumPy NumPy arrays are similar to Python’s built-in list type in some ways, but NumPy arrays provide much more efficient storage and data operations as the arrays grow in size. 2. SciPy It is built on top of the Numpy library, which provides more extensions for finding scientific mathematical formulae such as Matrix Rank, Inverse, polynomial equations, LU Decomposition, and so on. 3. Pandas Pandas is a pillar library in any data science workflow because it allows you to perform data processing, wrangling, and munging. 4. Matplotlib This library is built on NumPy arrays and includes several plots such as line charts, bar charts, histograms, and so on. 5. Scikit Learn Scikit-learn is by far one of the most important Python libraries for machine learning, as it allows you to create machine learning models while also providing utility functions for data preparation, post-model analysis, and evaluation.. 6. TensorFlow TensorFlow is a software library that uses data flow graphs to perform numerical computations. 7. Keras It was created with the goal of allowing for quick experimentation .Keras is a Python library that is widely used for deep learning model training. 8. PyTorch PyTorch takes these tensors and makes it simple to move them to GPUs for faster processing during neural network training.
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Logistic Regression in Machine Learning (from Scratch !!)
Introduction In this blog post, I would like to continue my series on “building from scratch.” I will discuss a linear classifier called Logistic Regression. This blog post covers the following topics, Basics of a classifier Decision Boundaries Maximum Likelihood Principle Logistic Regression Equation Logistic Regression Cost Function Gradient Descent Algorithm After the discussion of […]
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KNN in Machine Learning (from Scratch !!)
K-Nearest Neighbours: Introduction Birds of a feather flock together. William Turner The above quote perfectly sums up the algorithm that we are going to talk about in this post. KNN stands for K-Nearest Neighbours. It is a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems. Note: […]
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Data Science Starters
So, this post is for someone who wants to learn Data Science but is not able to find where to start from. In this post, I will share some crucial resources (free) that would help you get started with your Data Science journey, Programming So, to get started with Data Science you must be fluent […]
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Linear Regression in Machine Learning (from Scratch !!)
Introduction In this post, I will talk about one of the most crucial techniques in Regression Analysis/Machine Learning, called Linear Regression. As per Wikipedia, Regression Analysis is defined as a set of statistical processes used to estimate the strength of the relationship between a dependent variable and an independent variable. The process which tries to […]
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