Understanding MySQL Data Types
Akshay TekamMySQL supports various data types that allow us to store different types of data in our tables. Each column in a database table is required to have a name and…
All Essential Data Analysis For ML on a Dataset
“Data is the new oil” is a famous saying nowadays. So, how we can use this data to solve our business problems? Yes, we can get some useful insights from…
Convert Speech to Text in Python
Speech recognition systems use various algorithms and techniques to interpret the acoustic patterns of speech and map them to corresponding text representations. This technology which converts spoken language into written…
Convert Text to Speech in Python
To convert text to speech in Python, you can use the gTTS API, or pyttsx3 library, which is a Text-to-Speech (TTS) engine that works offline. There are number of APIs…
What is Simple Linear Regression in Machine Learning
In simple words, simple linear regression is finding the best fit line for one input and one output variable and predict the output value for each given input data. Here…
EDA using Bivariate and Multivariate Analysis
These techniques allow you to identify relationships, dependencies, and interactions between variables in your dataset. We have already seen univariate analysis in previous article. Here we will explore more on…
EDA using Univariate Analysis
Univariate analysis helps to understand the distribution, central tendency, dispersion, and other key characteristics of each variable in your dataset. It is nothing but analysis of a single column. Univariate…
Understanding your Data in Machine Learning
Understanding data is a critical step in machine learning. Before developing and training a model, it's essential to gain insights from our data we're working with. In this article I…
Train-Test Split for Machine Learning Algorithms
The train-test-split function in sklearn helps you split your data into two groups, one for training your model and another one for testing to see how well your model works.…
Correlation Matrix Using Pandas
Correlation analysis is a powerful statistical technique used to examine the relationships between variables in a dataset. It helps us understand how variables are related and provides insights into their…