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Prakhar S
Prakhar S

201 Followers

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Deep Neural Network: Forward and Backward Propagation

In this article, I will go over the steps involved in solving a binary classification problem using a deep neural network having L layers. If you are new to neural networks, I would suggest going over this article first, where I have discussed a single neuron neural network. The input…

Deep Learning

3 min read

Deep Neural Network: Forward and Backward Propagation
Deep Neural Network: Forward and Backward Propagation
Deep Learning

3 min read


Oct 30, 2022

Airflow Basic Concepts

Airflow is a workflow management platform for building data engineering pipelines. It uses Python to define your data engineering workflow as code, making them more maintainable, versionable, testable and collaborative. In this article, I will try to explain a few important concepts and terminology associated with Airflow. DAGs A DAG…

Airflow

2 min read

Airflow Basic Concepts
Airflow Basic Concepts
Airflow

2 min read


Mar 3, 2022

Most commonly used Linux commands

If you are starting out in any branch of computer science, whether software development, data science, software, and data engineering, should at the least become familiar with basic Linux commands. Here I am listing a few of them: man Short for ‘manual’: it provides the details about any command in…

Linux

4 min read

Most commonly used Linux commands
Most commonly used Linux commands
Linux

4 min read


Feb 11, 2022

Regex Pattern Matching

Some of the most common metacharacters used in Regex along with usage: . matches any character including whitespace. + matches 1 or more occurrences of the preceding subexpression. ? matches 0 or 1 occurrence of the preceding subexpression. * matches 0 or more occurrences of the preceding subexpression.

Regex

2 min read

Regex Pattern Matching
Regex Pattern Matching
Regex

2 min read


Feb 4, 2022

Data Normalization in Relational Databases

Data Normalisation is a bottom-up technique for database design, as opposed to Entity-Relationship Diagrams, which are a top-down technique for the same. These two approaches generally complement each other, and a balanced approach to database design will use both these approaches. Data normalisation is the technique of organising data into…

Database

6 min read

Data Normalization in Relational Databases
Data Normalization in Relational Databases
Database

6 min read


Feb 1, 2022

A Brief Overview of the Most Common Supervised Machine Learning Algorithms

In this article, I have tried to summarise the main features of the most common supervised ML algorithms in use, excluding ensemble methods such as RandomForest or XGboost, which I will deal with in another article. Please note that in all the cases below, n represents the number of input…

Machine Learning

5 min read

A Brief Overview of the Most Common Supervised Machine Learning Algorithms
A Brief Overview of the Most Common Supervised Machine Learning Algorithms
Machine Learning

5 min read


Jan 30, 2022

Multiclass Classification Using TensorFlow

In the previous article, I discussed building a linear regression model using Tensorflow. In this article, I will try to solve a multiclass classification problem using Tensorflow. I have used the MNIST-digit recognizer dataset here. Please note that even though a Convolutional Neural Network might have worked better for this…

Tensor Flow

4 min read

Multiclass Classification Using TensorFlow
Multiclass Classification Using TensorFlow
Tensor Flow

4 min read


Jan 19, 2022

Linear Regression using Tensorflow

A neural network is normally associated with Deep Learning problems, such as Image classification or Natural Language Processing. But it can as easily be trained to build a Linear Regression model. In fact, building a Linear Regression model is a good starting point for learning how to build neural networks. …

Tensor Flow

5 min read

Linear Regression using Tensorflow
Linear Regression using Tensorflow
Tensor Flow

5 min read


Jan 11, 2022

Plotting Decision Boundaries using Numpy and Matplotlib

A decision boundary is a surface that separates two or more classes into different sets, where all the points belonging to one class lie on one side of the decision boundary. Plotting a decision boundary is a great way to visually evaluate how good our machine learning model is, and…

Data Science

4 min read

Plotting Decision Boundaries using Numpy and Matplotlib
Plotting Decision Boundaries using Numpy and Matplotlib
Data Science

4 min read


Jan 8, 2022

Statistics For Data Science: Hypothesis Testing

Inferential statistics, where we take a sample from a population and use that sample to make predictions about the populations, is all about Hypothesis testing. For example, suppose we have been told that the mean height of 25-year old males in the US is 172 cm(=𝜇). We could try to…

Statistics

6 min read

Statistics For Data Science: Hypothesis Testing
Statistics For Data Science: Hypothesis Testing
Statistics

6 min read

Prakhar S

Prakhar S

201 Followers

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