Sentiment analysis (or opinion mining) is a natural language processing technique used to determine whether data is positive, negative or neutral. Sentiment analysis is often performed on textual data to help businesses monitor brand and product sentiment in customer feedback, and understand customer needs.
In today’s article, we are going to talk about five 5 Unknown Sentiment Analysis Projects On Github To Help You Through Your NLP Projects to enhance your skills in the field of data science and machine learning.
Note: In this article, we are going to talk about some ‘low ball’ but really good open-source Sentiment Analysis projects which you can use in your projects. …
Natural Language Processing explains that in NLP, machines are taught to read and interpret the text as humans do. NLP is recognized as the “enabler of text analysis and speech-recognition applications.” This human capability for interpreting text comes in handy for analyzing large volumes of text data. The technology can accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.
In today’s article, we are going to talk about five of the NLP projects to enhance your skills in the field of data science and image processing.
Note: In this article, we are going to talk about some ‘low ball’ but really good open-source NLP projects which you can use in your projects. To read more about each of them I recommend following the link given along the project. …
In today’s article, we are going to talk about Six of the open-source custom Object Detection projects to enhance your skills in the field of computer vision and image processing.
Note: In this article, we are going to talk about some of the not-so-famous but really good open-source custom object detection projects which you can use in your projects. To read more about each of them I recommend following the link given along the project.
Bonus
Awesome Object Detection: This is a list of awesome articles about object detection.
Having a good theoretical knowledge is amazing but implementing them in code in a real-time machine learning project is a completely different thing. You might get different and unexpected results based on different problems and datasets. So as a Bonus,I am also adding the links to the various courses which has helped me a lot in my journey to learn Data science and ML. I am personally a fan of DataCamp, I started from it and I am still learning through DataCamp and keep doing new courses. They seriously have some exciting courses. …
Reinforcement learning differs from supervised learning in not needing labelled input/output pairs be presented, and in not needing sub-optimal actions to be explicitly corrected. Instead the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge)
In this post, you will discover 5 of the best and open-source Reinforcement Learning frameworks and projects available to us. We will review five of the best open-source Reinforcement Learning projects and frameworks available on Github for anyone interested to use it.
If you enjoy reading this article, I am sure that we share similar interests and are/will be in similar industries. So let’s connect via LinkedIn and Github. …
Alright, let us recall the moments and events that have led us to believe that the secret to life was indeed “LOVING ONESELF”.
I was in a sad place, dealing with heartbreak, the loss of my friends and family, and work problems. Life wasn't good to me then, and I had reached this tipping point and just when I couldn't take it anymore I decided that I was done living this way and got up and opened my laptop and started writing.
“THIS DAY, I VOW TO MYSELF TO LOVE MYSELF, TO TREAT MYSELF AS SOMEONE I LOVE TRULY AND DEEPLY, AND IN MY THOUGHTS MY ACTIONS THE CHOICES I MADE THE EXPERIENCES I HAD EACH MOMENT I AM CONSCIOUS OF — TODAY I MAKE A DECISION THAT NO MATTER WHAT I LOVE…
Keras is a high-level interface and uses Theano or Tensorflow for its backend. It runs smoothly on both CPU and GPU. Keras supports almost all the models of a neural network — fully connected, convolutional, pooling, recurrent, embedding, etc. Furthermore, these models can be combined to build more complex models.
In this post, you will discover 5 of the best and open-source Keras Tensorflow resources available to us. We will review five of the best open-source Keras Tensorflow resources available on Github for anyone interested to use it.
If you enjoy reading this article, I am sure that we share similar interests and are/will be in similar industries. So let’s connect via LinkedIn and Github. …
In this post, you will discover 5 of the best and open-source Computer Vision Human-Pose Estimation projects. We will review five of the best open-source Computer Vision Human-Pose Estimation projects available on Github for anyone interested to use it.
If you enjoy reading this article, I am sure that we share similar interests and are/will be in similar industries. So let’s connect via LinkedIn and Github. Please do not hesitate to send a contact request!
A common LSTM unit is composed of a cell, an input gate, an output gate and a forget gate. The cell remembers values over arbitrary time intervals and the three gates regulate the flow of information into and out of the cell.
LSTM networks are well-suited to classifying, processing and making predictions based on time series data.
In this post, you will discover 5 of the best and open-source LSTM Projects. We will review five of the best open-source LSTM Machine Learning projects available on Github for anyone interested to use it.
If you enjoy reading this article, I am sure that we share similar interests and are/will be in similar industries. So let’s connect via LinkedIn and Github. Please do not hesitate to send a contact request! …
CycleGAN is an approach to training image-to-image translation models using the generative adversarial network(GANs). The CycleGAN is an extension of the GAN architecture that involves the simultaneous training of two generator models and two discriminator models.
In this post, you will discover 5 of the best and open-source CycleGAN Projects. We will review five of the best open-source CycleGAN Machine Learning projects available on Github for anyone interested to use it.
Having good theoretical knowledge is amazing but implementing them in code in a real-time machine learning project is a completely different thing. …
Note: In this article, we are going to talk about some of the not-so-famous but really good PythonResources which you can use to make your next projects. To read more about each of them I recommend following the link given along the project.
Having a good theoretical knowledge is amazing but implementing them in code in a real-time machine learning project is a completely different thing. You might get different and unexpected results based on different problems and datasets. So as a Bonus,I am also adding the links to the various courses which has helped me a lot in my journey to learn Data science and ML.I am personally a fan of DataCamp, I started from it and I am still learning through DataCamp and keep doing new courses. They seriously have some exciting courses. …
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