Get started with machine learning - craft your first artificial neural networks using Python and TensorFlow
In this mini-course, you will discover how you can get started, build accurate models and confidently complete predictive modeling machine learning projects using Python in 14 days. This is a big and important post. You might want to bookmark it. Kick-start your project with my new book Ma...
The mini-projects at Skyfi Labs, are designed on the lines of giving you a complete hands-on experience with project-based learning modules. Skyfi Labs believes in bringing out more skilled and talented engineers to the world rather than paper engineers. ...
machine-learningdatasetstudent-gradesml-projectmini-project UpdatedJan 30, 2024 Jupyter Notebook This repository contains the whole project. This project was intended to exhibit as a DBMS project but it can also act as a web development project as it includes complete front end and back end. ...
In this tutorial, we explored the power of the o3-mini model in the context of a machine learning project. The o3-mini model proves to be an excellent tool for data scientists, machine learning engineers, and technical professionals. Its ability to handle complex tasks efficiently makes it a...
In this post, you will discover a 7-part crash course on XGBoost with Python. This mini-course is designed for Python machine learning practitioners that are already comfortable with scikit-learn and the SciPy ecosystem. Kick-start your project with my new book XGBoost With Python, including st...
project: 可视化,具体的神经网络层 project/run_tensor.py会实现Linear, Conv这类需要记录weights等参数的层 Lesson0 准备 & ML Primer sigmoid虽然被定义为1/(1+exp(-x),但是由于exp很容易冲破精度,所以实际上是当x>=0时1/(1+exp(-x),x<0时,sigmoid(x)=exp(x)/(exp(x) + 1) ...
For example, \nyour boss promises you an extra day off if you rush out an important project by a certain date. You work late hours and finish the project before the deadline. Ready for your day off, you mention it to your boss who responds \"No, we have too much work to do.\"...
Programming with Data: Python and Pandas Hands-on Machine Learning with scikit-learn Machine Learning at Scale using Apache Spark Supervised Learning for Missing Data Causal Inference for Data Science Meta-learning for Machine Learning Cybersecurity in ML ...
Deep-Learning-Course 01- CNN and MLP Test accuracy comparison between MLP and Deep Learning DatasetMLP (Machine Learning)CNN + MLP (Deep Learning) Mnist 0.97 0.98 Fashion Mnist 0.86 0.89 Cfar 10 0.37 0.63 Cfar 100 0.13 0.28 02- Sheikh-Recognition Train Neural Network for normal person and ...