In this article, I will talk about what is a data pipeline, how to use a data pipeline with Python, and I will show examples to create a data pipeline using TensorFlow.
What is Data Pipeline?
It is important to bring the data into the appropriate format when building a model. One of the most important steps in data analysis is data preprocessing. Data preprocessing takes most of the data scientists’ time. Automating data preprocessing steps simplifies data analysis.
A data pipeline is a series of…
Hands-on Tutorial
In this article, I explained sentiment analysis with TensorFlow Hub using the IMDB dataset.
While performing data analysis, the model is trained with the training data and then inference on new data according to this trained model.
Model training is a difficult process. A large amount of labeling and computing power is required to train a model from scratch. …
HANDS-ON TUTORIALS
Classifying images with deep learning using TensorFlow and Keras API | Introduction to computer vision
Introduction to Computer Vision
Computer vision is one of the important research areas in machine learning. With smartphones and tablets, people take pictures every day and upload them to social media platforms. Specialists are needed to analyze this huge amount of produced pictures.
Computer vision is used in many fields such as robotics, healthcare…
Hands-on Tutorial
Machine learning and deep learning with TensorFlow and Keras
With the development of artificial intelligence, previously unsolvable problems could be solved. In this article, I will introduce deep learning with TensorFlow.
What is Deep Learning?
In recent years, data production has increased with the development of the internet and technology. Machine learning techniques are used to extract information from data. …
Data visualization is one of the most enjoyable stages of data analysis. You can draw graphics very easily with the recently developed open source and free libraries. The Pandas library is one of the most used Python libraries for data preprocessing and data cleaning. Libraries such as Matplotlib and Seaborn…
As a data scientist, one of my favorite stages of data analysis is data visualization. When I visualize data, I feel like an artist. Here you can watch how masterpieces can be created with data visualization and machine learning.
Data visualization is one of the important steps of data analysis…
Data visualization is one of the first stages of data analysis. In my last post, I explained histograms with Matplotlib in Python. I will talk about the scatter plots in this post.
A Scatter plot can be plotted to see the relationship between two variables. In the scatter plot, the…
Suppose you have average salary data for five different jobs and you want to compare these salaries. You can use bar plots to visualize this data. Bar plots are used to compare values in different categories. Bars can be plotted horizontally or vertically. In my last article, I explained histograms…
You may have heard of histograms or seen in data analysis. If you are not good at statistics, you can confuse the histograms with the bar graphs. In my last post, I talked about line plots in python using matplotlib. Histograms are also similar to bar charts. …
Data visualization is one of the important steps of data analysis. By visualizing the data, we can explore the information in the data. One of the simplest graphs is line plots. In my last post, I explained how to plot statistical graphs with Seaborn and Pandas. …
