Machine learning is a method of teaching computers to learn from data without being explicitly programmed. One of the most commonly used algorithms for classification tasks is the Linear Discriminant Analysis (LDA) algorithm. In this article, we will be discussing how to use LDA for classification in R using the IRIS dataset from …
Decision trees are a popular machine learning algorithm that can be used for both classification and regression problems. They are widely used in data science and are particularly useful for tasks where the goal is to understand the relationships between different variables in a dataset. Decision trees are also easy to interpret and can …
Scatter matrix plots, also known as pair plots, are a great way to visualize and understand the relationship between multiple variables in a dataset. These plots are created by plotting each variable against every other variable in a matrix format, with each cell in the matrix representing a scatter plot of two variables. To …
Correlation Matrix Plots | Jupyter Notebook | Python Data Science for beginners | Data Visualisation
Correlation Matrix Plots A correlation matrix is a table that shows the correlation coefficients between multiple variables. Correlation matrix plots in Python are a way to visualize these correlation coefficients in a graphical format. In this essay, we will go over the steps needed to create correlation matrix plots in Python. The first step …
Box and Whisker Plots Box and whisker plots, also known as box plots, are a way to visualize the distribution of a dataset in Python. In this essay, we will go over the steps needed to create box and whisker plots in Python. The first step is to load the data that you want …
Matplotlib is a powerful and widely used library in Python for data visualization. It provides a variety of tools and functions for creating different types of plots and charts, such as line plots, scatter plots, bar plots, and histograms. Matplotlib also provides a lot of flexibility in customizing the appearance of the plots, such …
Flow control in Python, also known as control flow, is the order in which the instructions in a program are executed. This means that we can tell the computer to execute certain instructions only if certain conditions are met, or to repeat instructions a certain number of times. This allows us to create more …
Applied Data Science Coding | Forecasting in R | SARIMA model | Air Quality Dataset Data science is a field that uses various techniques to extract insights and knowledge from data. One important aspect of data science is forecasting, which involves using historical data to predict future events. Forecasting is important in many industries …
Applied Data Science Coding | Forecasting in Python | CNN model | Air Quality Dataset | Deep Learning Data science is a field that uses various techniques to extract insights and knowledge from data. One important aspect of data science is forecasting, which involves using historical data to predict future events. Python is …
Applied Data Science Coding | Forecasting in Python | Holt Winters model | Air Quality Dataset Applied Data Science Coding is the process of using programming languages and tools to analyze and extract insights from data. In this example, we will focus on forecasting, which is the process of making predictions about future events …