Muhammad Bilal
@BilalCodes649
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Full Stack Developer | Aspiring Machine Learning Enthusiast | Exploring NLP | #LearningInPublic | Freelancing | Lifelong Learner
Pakistan
Joined April 2023
I have got the first part certificate of Machine Learning Specilization of @AndrewYNg on @coursera
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Just implemented a neural networks in python without using Tenserflow and Pytorch.#MachineLearning #DeepLearning #Python.
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5 Challenges in Machine Learning Adoption and How to Overcome Them
machinelearningmastery.com
Machine learning presents transformative opportunities for businesses and organizations across various industries. From improving customer experiences to optimizing operations and driving innovation,...
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Inspiring takeaway: MLR allows us to handle complex datasets with multiple variables, leading to more accurate predictions. (7/7) #Inspiration #Learning.
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Feature scaling is crucial to ensure all features contribute equally. Techniques include normalization and standardization. (6/7) #FeatureScaling.
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Gradient Descent helps minimize the cost function. We update ( w ) parameters iteratively: ( w_j = w_j - alpha * (∂/∂w_j) J(w)). (5/7) #GradientDescent #Optimization.
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The cost function used in MLR is the Mean Squared Error (MSE): J(w) = (1/2m) * Σ (h(x(i)) - y(i))^2. This measures the error of our hypothesis. (4/7) #CostFunction.
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The hypothesis function for MLR is h(x) = w0 + w1x1 + w2x2 + . wnxn. Here, each w represents a parameter, and x represents the feature. (3/7) #MathInML.
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MLR extends simple linear regression by using multiple features to predict outcomes, rather than just one. 🧩 (2/7) #MLR #DataScience.
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Let's dive into Multivariate Linear Regression (MLR) in Machine Learning! A thread inspired by Andrew Ng's course. (1/7) #MachineLearning #ML #Python #DataScience.
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How much should I learn so that I can start contributing in open source AI projects?.
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Build a simple AI model to predict the ice cream sales based on user input temperature. Share some tips for next step that will be helpful for me!. #MachineLearning #ArtificialInteligence #Python.
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Exploring the relationship between age and blood pressure using linear regression. #DataScience #MachineLearning #Python #100DaysOfCode
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