I will enable you to work on machine learning problems and gain from experience.I am providing a high level understanding about various machine learning algorithms along with R & Python codes to run them. These should be sufficient
if yes, then this course is for you. In this course, you will learn about core concepts of Machine Learning, use cases, role of Data, challenges of Bias, Variance and Overfitting, choosing the right Performance Metrics, Model Evaluation Techniques, Model Optmization using Hyperparameter Tuning ...
Supervised learning encompasses the majority of machine learning algorithms, with two prominent subcategories: Regression, which deals with predicting continuous numeric values, and Classification, which focuses on predicting categorical labels or classes for data points. Continue Reading......
Upgrade to Python 3.13 (#11588) Oct 1, 2024 machine_learning [pre-commit.ci] pre-commit autoupdate -- ruff 2025 stable format (#12521 Jan 14, 2025 maths [pre-commit.ci] pre-commit autoupdate -- ruff 2025 stable format (#12521
Machine-Learning-with-Python Python codes for common Machine Learning Algorithms random-forestsvmlinear-regressionnaive-bayes-classifierpcalogistic-regressiondecision-treesldapolynomial-regressionkmeans-clusteringhierarchical-clusteringsvrknn-classificationxgboost-algorithm ...
Build your understanding of artificial intelligence with Python and machine learning principles for you to form the basis of AI How can you take your knowledge of machine learning (ML) concepts and how Python works within them to the next level?
thepowerfulPython-basedlibraryformachinelearninganddeeplearning.Movingon,youwillgetuptospeedwithgradientdescentvariants,suchasNAG,AMSGrad,AdaDelta,Adam,andNadam.ThebookwillthenprovideyouwithinsightsintoRNNsandLSTMandhowtogeneratesonglyricswithRNN.Next,youwillmasterthemathforconvolutionalandcapsulenetworks,widelyused...
电子邮件:liuyubobobo@gmail.com 微博:刘宇波bobo http://weibo.com/liuyubobobo 知乎:刘宇波 http://www.zhihu.com/people/liuyubobobo 知乎专栏:是不是很酷 https://zhuanlan.zhihu.com/liuyubobobo 个人公众号:是不是很酷:) 推荐一下这门课程的同学@howie6879倾情为大家制作的机器学习资源导航检索站:mlhu...
Once a classification machine learning algorithm divides a feature space, we can then classify each point in the feature space, on some arbitrary grid, to get an idea of how exactly the algorithm chose to divide up the feature space.
Play-with-Machine-Learning-AlgorithmsFo**ly 上传2.84 MB 文件格式 zip imooc jupyter-notebooks machine-learning machine-learning-algorithms mooc 《Python3 入门机器学习》是我在慕课网上的课程,提供了示例代码以帮助学习者更好地理解机器学习算法的实现和应用。课程内容不断更新,包括最新的发展和实践经验,以确保...