{{ 'fb_in_app_browser_popup.desc' | translate }} {{ 'fb_in_app_browser_popup.copy_link' | translate }}

{{ 'in_app_browser_popup.desc' | translate }}

MENU TROLI {{currentCart.getItemCount()}}
[Udemy Course] The Future Of Machine Learning In Python by Lubula Paul Chikwekwe

[Udemy Course] The Future Of Machine Learning In Python by Lubula Paul Chikwekwe

RM15.00
{{shoplineProductReview.avg_score}} {{'product.product_review.stars' | translate}} | {{shoplineProductReview.total}} {{'product.product_review.reviews' | translate}}
{{amazonProductReview.avg_rating}} {{'product.product_review.stars' | translate}} | {{amazonProductReview.total_comment_count}} {{'product.product_review.reviews' | translate}}
Kuantiti Product set quantity
Daftar Sekarang
Tambah ke Senarai Idaman
Daftar Sekarang
Kuantiti maksimum setiap pesanan adalah99999
Kuantiti ini tidak sah, sila masukkan kuantiti yang sah.
HABIS DIJUAL

Stok tidak mencukupi. Item anda tidak ditambah ke dalam troli.

Stok tidak mencukupi. Sila tukar kuantiti pesanan

{{'products.quick_cart.out_of_number_hint'| translate}}

{{'product.preorder_limit.hint'| translate}}

Hanya {{ product.max_order_quantity }} item (s) yang dibenarkan untuk setiap pesanan’

Hanya {{ quantityOfStock }} item (s) dalam inventori

Sila mesej pemilik kedai untuk mendapatkan butiran pembelian.
Daftar Sekarang
Tambah ke Senarai Idaman
Daftar Sekarang

Keterangan

What you'll learn
Master Python for Machine Learning: Students will gain proficiency in using Python and essential libraries (such as NumPy, Pandas, and Matplotlib etc)
Understand and Apply Machine Learning Algorithms: Learners will be able to explain and implement key supervised and unsupervised learning algorithms
Build and Train Neural Networks: Students will learn how to construct, train, and evaluate neural networks using frameworks like TensorFlow and Keras
Explore Advanced Topics and Ethical Considerations: Participants will explore advanced machine learning topics

Dive into the future of machine learning with Python, using the Feynman Technique to break down complex concepts into simple & understandable terms. This course combines engaging metaphors, interactive quizzes, and hands-on assignments to ensure you not only learn but also deeply understand and apply machine learning principles

Understanding on a fundamental level the concepts of Machine Learning, Deep Learning, Neural Networks, Unsupervised Learning, Supervised Learning, Data Preprocessing & EDA.



Learning Objectives:

Master Python for Machine Learning: Students will gain proficiency in using Python and essential libraries (such as NumPy, Pandas, and Matplotlib) for data manipulation, visualization, and implementation of machine learning algorithms.

Understand and Apply Machine Learning Algorithms: Learners will be able to explain and implement key supervised and unsupervised learning algorithms, including regression, classification, clustering, and dimensionality reduction techniques.

Build and Train Neural Networks: Students will learn how to construct, train, and evaluate neural networks using frameworks like TensorFlow and Keras, and understand the principles behind deep learning and neural network architectures.

Explore Advanced Topics and Ethical Considerations: Participants will explore advanced machine learning topics such as reinforcement learning and generative models, while also gaining insight into the ethical implications and future trends of artificial intelligence and machine learning technologies.

💢💢💢💢💢💢💢💢

Product Details: https://tinyurl.com/mrx6cvp4

File size: 1.6GB

Payment and delivery:
1. Please provide your EMAIL address in “message:” during checkout.
2. The files will be sent to you after payment has been confirmed.

🔥 All files will be delivered online.
🔥 Download for Lifetime Access

Kindly PM us if you are looking for other ebooks/ Video Courses.
Enjoy learning!

Penilaian pengguna

{{'product.product_review.no_review' | translate}}

Produk Berkaitan