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Sports Collectors Digest - May 1, 2025 English | PDF | 50.19 MB [/center] AusFile https://ausfile.com/nac6np0hoaxa/g5bf5vh118t1.rar RapidGator https://rapidgator.net/file/134f6a7106a7240494b5dd760a34f748/g5bf5vh118t1.rar UploadY https://uploady.io/j2ph5d5uhpl2/g5bf5vh118t1.rar

The Primary Planet - April 2025 English | PDF | 48.28 MB [/center] AusFile https://ausfile.com/feeb4iweus8e/hewfo13122h2.rar RapidGator https://rapidgator.net/file/8724c7e09afb29145469ef5e897f6c98/hewfo13122h2.rar UploadY https://uploady.io/o5obm17ukzcd/hewfo13122h2.rar

Techlife News - 12 April 2025 English | PDF | 82.34 MB [/center] AusFile https://ausfile.com/yjk75vulvudq/03l2a16z2ghh.rar RapidGator https://rapidgator.net/file/de3e9ca7856d1297b89e67c7fedbe944/03l2a16z2ghh.rar UploadY https://uploady.io/th11mt7vrtia/03l2a16z2ghh.rar

Recoil Offgrid - June-July 2025 English | PDF | 55.13 MB [/center] AusFile https://ausfile.com/mdsolfbaic89/31odqe9421at.rar RapidGator https://rapidgator.net/file/f332893abc5b0a7834267161d39e366c/31odqe9421at.rar UploadY https://uploady.io/acxmywklmsen/31odqe9421at.rar

Southern Lady - May-June 2025 English | PDF | 68.01 MB [/center] AusFile https://ausfile.com/0cequtq2hb62/rgdz450tq125.rar RapidGator https://rapidgator.net/file/0b47478e281a5d066083a8446f19bb5f/rgdz450tq125.rar UploadY https://uploady.io/fmbziyu7zkup/rgdz450tq125.rar

Radio Times - 19 April 2025 English | PDF | 101.81 MB [/center] AusFile https://ausfile.com/udq8u9ngu4gv/1d5quu3666du.rar RapidGator https://rapidgator.net/file/642b17f77755dc70d1120787cf1ad1f8/1d5quu3666du.rar UploadY https://uploady.io/qa9s42eq8dlj/1d5quu3666du.rar

Next Magazine - Issue 7 2025 English | PDF | 52.08 MB [/center] AusFile https://ausfile.com/cl2h7zdojdtv/gl3h635h7hd9.rar RapidGator https://rapidgator.net/file/bd619cb5540f9e2ba73383fccfdff800/gl3h635h7hd9.rar UploadY https://uploady.io/wir7tchqjnd4/gl3h635h7hd9.rar

Florida Sportsman - May 2025 English | PDF | 98.54 MB [/center] AusFile https://ausfile.com/gitgpu3wn99e/62ki8824elsq.rar RapidGator https://rapidgator.net/file/c1437c20c292d5d1526e7ee45df7f764/62ki8824elsq.rar UploadY https://uploady.io/wlylivxlhhdr/62ki8824elsq.rar

Old Cars Weekly - May 15, 2025 English | PDF | 69.41 MB [/center] AusFile https://ausfile.com/lp2a3xavvldn/31p9eqwg037r.rar RapidGator https://rapidgator.net/file/80abc27cd776d701711ea3e469dc5605/31p9eqwg037r.rar UploadY https://uploady.io/s181th0jeg0s/31p9eqwg037r.rar

News Flash - April 2025 English | PDF | 29.62 MB [/center] AusFile https://ausfile.com/g56tyb9ocdyq/qfa1980wq6b3.rar RapidGator https://rapidgator.net/file/a32ed1498170b4a71306ef3cee8c1dd3/qfa1980wq6b3.rar UploadY https://uploady.io/z8r6pyv8z55v/qfa1980wq6b3.rar

Miniature Wargames - May 2025 English | PDF | 39.09 MB [/center] AusFile https://ausfile.com/yyyyw54t9oml/02mx48k9a9zc.rar RapidGator https://rapidgator.net/file/fe93085adac4e051cfdeb0ce349578ec/02mx48k9a9zc.rar UploadY https://uploady.io/uvl4wot34mmm/02mx48k9a9zc.rar

Just Bikes - Issue 442, 2025 English | PDF | 79.54 MB [/center] AusFile https://ausfile.com/v98khgcgtbta/8j6ocuu446f5.rar RapidGator https://rapidgator.net/file/cae50ba9c779324fef4db74716cb0ffa/8j6ocuu446f5.rar UploadY https://uploady.io/yhkr9ikxk5iu/8j6ocuu446f5.rar

Flight Training - January-February 2025 English | PDF | 74.89 MB [/center] AusFile https://ausfile.com/tfof43mmr76y/2h8chq2m5a03.rar RapidGator https://rapidgator.net/file/94a517cb0d355359c7cfae4ba24df974/2h8chq2m5a03.rar UploadY https://uploady.io/qm127b5ek5dy/2h8chq2m5a03.rar

Fairlady - May-Jun 2025 English | PDF | 96.21 MB [/center] AusFile https://ausfile.com/ysez87wyex92/v93q214v0dwc.rar RapidGator https://rapidgator.net/file/d382793cc1b3319f7294ecabe5dfb48d/v93q214v0dwc.rar UploadY https://uploady.io/djg3uwhycptp/v93q214v0dwc.rar

Classic American - May 2025 English | PDF | 105.58 MB [/center] AusFile https://ausfile.com/l7lzxl64ar8e/e2cy40c2ti30.rar RapidGator https://rapidgator.net/file/90065ac2612f7854aea924362cbc7c78/e2cy40c2ti30.rar UploadY https://uploady.io/7z01cugpub2t/e2cy40c2ti30.rar

Chic - 12 April 2025 English | PDF | 9.05 MB [/center] AusFile https://ausfile.com/6pl4hbf2ws6u/5a2np62y29ja.rar RapidGator https://rapidgator.net/file/7c5caee98512a03f13842cccddb9232a/5a2np62y29ja.rar UploadY https://uploady.io/1cl76q2qejoq/5a2np62y29ja.rar

Better Homes & Gardens Specials - 14 April 2025 English | PDF | 139.04 MB [/center] AusFile https://ausfile.com/44wzb35y0uz8/v77t0m2x9ro5.rar RapidGator https://rapidgator.net/file/ad50cb29906a23386d0ae3258a5f2deb/v77t0m2x9ro5.rar UploadY https://uploady.io/tyulidbw4hdd/v77t0m2x9ro5.rar

Angels on Earth - March-April 2025 English | PDF | 11.74 MB [/center] AusFile https://ausfile.com/iflknw2yw61m/7wt79e1r63fm.rar RapidGator https://rapidgator.net/file/3397059f05d09b69d8a59458e21e2124/7wt79e1r63fm.rar UploadY https://uploady.io/f1d4gshs04f1/7wt79e1r63fm.rar

626.54 MB | 01:08:07 | mp4 | 1280X720 | 16:9 Language:English Genres: Documentary,Comedy iMDB info https://www.imdb.com/title/tt30961567/ Comedy actors Chris Ramsey and Paul Chowdhry test out epic stunts from festive action film Die Hard. While Chris and Paul attempt to pull off John McClane's most death-defying feats, Alex Brooker explores the iconic sets and meets cast members to hear their favourite memories from the shoot. ScreenShoot Download link : https://ausfile.com/9cwucfpjl0sn/The.Unofficial.Science.Of.Die.Hard.2024.720p.WEBRip.YTS.MX.rar https://rapidgator.net/file/ee2ab75022495855ae2b96ea6a4de227/The.Unofficial.Science.Of.Die.Hard.2024.720p.WEBRip.YTS.MX.rar

856.89 MB | 00:45:22 | mp4 | 1920X804 | 2.40:1 Language:English Genres: Documentary iMDB info https://www.imdb.com/title/tt26625128/ Discover the story of Punchdrunk, the pioneering and hugely secretive theatre company whose productions have reinvented an art form and changed the rules of theatre. ScreenShoot Download link : https://ausfile.com/112ylg8pgzxp/Punchdrunk.Behind.The.Mask.2023.1080p.WEBRip.5.1.YTS.MX.rar https://rapidgator.net/file/0f6a55a08cea5b3093a46383b98d1f92/Punchdrunk.Behind.The.Mask.2023.1080p.WEBRip.5.1.YTS.MX.rar

2.02 GB | 01:49:35 | mp4 | 1920X1080 | 16:9 Language:Swedish Genres: Documentary iMDB info https://www.imdb.com/title/tt27543992/ Two Norwegian sisters receive a premonition from God that makes them buy an apartment in a tiny Swedish town, Gullspång. Meeting the seller, she is a dead-ringer of their older sister, who committed suicide 30 years ago. ScreenShoot Download link : https://ausfile.com/i435hv9g8wth/The.Gullspang.Miracle.2023.1080p.WEBRip.5.1.YTS.MX.part1.rar https://ausfile.com/f9kqq1j7zh3k/The.Gullspang.Miracle.2023.1080p.WEBRip.5.1.YTS.MX.part2.rar https://ausfile.com/pqw7q4qyz636/The.Gullspang.Miracle.2023.1080p.WEBRip.5.1.YTS.MX.part3.rar https://rapidgator.net/file/f4606f051b9e272c5aa9db35f66b76f6/The.Gullspang.Miracle.2023.1080p.WEBRip.5.1.YTS.MX.part1.rar https://rapidgator.net/file/c96c9bea57e96ca3b5b898ddc69a8cd7/The.Gullspang.Miracle.2023.1080p.WEBRip.5.1.YTS.MX.part2.rar https://rapidgator.net/file/f54739ae9f035ac621a849f12444e79d/The.Gullspang.Miracle.2023.1080p.WEBRip.5.1.YTS.MX.part3.rar

Next.js 15 Ultimate Build Advanced StackOverflow Application Published 4/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch anguage: English | Duration: 48h 6m | Size: 25 GB Next.js 15 Mastery Build a Modern Stack Overflow from Scratch Create a Scalable Full-Stack Application with Next.js What you'll learn Build Full Stack Stack Overflow Application Design Total Application with Tailwind CSS and Shadcn From Scratch React js Fundamental MongoDB Fundamental Next js Fundamental Authentication With Email Password Authentication With GitHub Create Question Submission Create Tags Action Answer Submission Setup Voting System Setup Protected Route in Next.Js Login Logout with Next Auth Section Wise Complete Source Code Lecture by Lecture Source Code Model Creation and Query Testing Requirements Basic Understanding of JavaScript Good Grasp of Tailwind CSS HTML and CSS Knowledge Basic Command Line Knowledge Description Welcome to "Next.js 15 Ultimate Build: Advanced StackOverflow Application", the ultimate full-stack development course designed to take you from beginner to pro using the latest Next.js 15 framework! If you're eager to master modern web development, build a real-world application like StackOverflow, and deploy a portfolio-ready project, this course is your perfect starting point. Hosted on Udemy, this comprehensive tutorial combines hands-on coding, industry-standard tools, and step-by-step guidance to help you create a fully functional, advanced full-stack application from scratch.Why Choose This Next.js Course?Next.js has become the go-to framework for building fast, scalable, and SEO-optimized web applications. In this course, you'll dive deep into Next.js 15, mastering its cutting-edge features while building a StackOverflow clone-a full-stack app with real-world functionality. Whether you're a beginner looking to learn React.js fundamentals, a developer exploring MongoDB, or an aspiring full-stack engineer, this course equips you with in-demand skills. By the end, you'll have a polished project to showcase on GitHub, impress employers, or even launch as a startup idea!What You'll BuildThis isn't just another coding tutorial-it's a complete journey to building a full-stack StackOverflow application. You'll create a dynamic platform where users can:Submit questions and tag them with relevant categories.Post answers and engage with a voting system.Authenticate securely using email/password or GitHub login.Navigate protected routes with confidence.From designing the UI with Tailwind CSS and Shadcn to setting up a robust backend with MongoDB, this course covers every layer of development. Plus, you'll get section-wise source code and lecture-by-lecture code snippets to follow along effortlessly.Key Features of This CourseHere's what makes this Next.js 15 course stand out on Udemy:Build a Full-Stack StackOverflow Application: Create a real-world app with frontend and backend integration.Design with Tailwind CSS and Shadcn: Craft a stunning, responsive UI from scratch using modern design tools.React.js Fundamentals: Master React.js basics like components, hooks, and state management.MongoDB Fundamentals: Learn to design schemas, create models, and query databases effectively.Next.js Fundamentals: Explore routing, API routes, and server-side rendering in Next.js 15.Authentication Mastery: Implement secure login/logout with NextAuth.js, including email/password and GitHub OAuth.Interactive Features: Build question submission, tags, answer posting, and a voting system.Protected Routes: Secure your app with Next.js middleware and authentication logic.Complete Source Code: Access organized, downloadable code for every section and lecture.Practical Learning: Test models and queries with real examples.What You'll GainBy the end of this course, you'll:Have a fully functional StackOverflow clone built with Next.js 15.Master full-stack development with React.js, MongoDB, and Next.js.Understand modern authentication with NextAuth.js.Design responsive UIs with Tailwind CSS and Shadcn.Gain confidence in building and deploying real-world applications.Plus, you'll receive section-wise source code and lecture-by-lecture code files, making it easy to follow along, troubleshoot, and customize your project. Who this course is for Frontend Developers looking to level up their skills by learning backend development with Next js and MongoDB. Build a real-world project to boost your resume. Ready to level up with full-stack skills and advanced Next.js features. 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9.13 GB | 30min 31s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 -Introduction.mp4 (17.9 MB) 2 -How to use this course for the better result.mp4 (13.14 MB) 3 -How to rate the course.mp4 (9.11 MB) 4 -How to use the QA section.mp4 (2.37 MB) 1 -Project 1 - Linear Regression Model using ANN in Keras & Tensorflow - Part 1.mp4 (174.01 MB) 2 -Project 1 - Linear Regression Model using ANN in Keras & Tensorflow - Part 2.mp4 (248.32 MB) 3 -Project 1 - Part 3 - Keras & Tensorflow Sequential Model and Training Details.mp4 (138.41 MB) 1 -Project 2 - Hand Written Digit Recognition in Artificial Neural Network.mp4 (219.03 MB) 1 -What is a Convolutional Neural Network.mp4 (14.81 MB) 1 -Project 3 - Hand Written Digit Recognition using CNN in Keras & Tensorflow.mp4 (161.88 MB) 1 -Project 4 - Image Classification & Fashion Recognition using CNN in Keras.mp4 (136.82 MB) 1 -Project 5 - Image Classification and Object Detection using cifar10 & CNN.mp4 (163.82 MB) 1 -Project 6 - Cats and Dogs Classification using CNN in Keras & Tensorflow.mp4 (259.49 MB) 1 -Project 7 - Image Classification and Cars Detection using CNN in Keras.mp4 (363.78 MB) 1 -Project 8 Part 1 - Image Classification & National Flower Detection using CNN.mp4 (58.88 MB) 2 -Project 8 Part 2 - Dealing with Overfitting, Underfitting and Model Validation.mp4 (72.22 MB) 3 -Project 8 Part 3 - Dealing with Overfitting and Data augmentation in Tensorflow.mp4 (88.62 MB) 1 -Project 9 - Image Classification for Face & Gender Detection using CNN in Keras.mp4 (259.36 MB) 1 -Installing and configuring Anaconda & PyCharm.mp4 (114.7 MB) 2 -Online Compiler & Google CoLab.mp4 (17.36 MB) 1 -Project 10 - Realtime Face & Gender Detection using CNN in Keras.mp4 (74.92 MB) 1 -Project 11 - Emotion detection (Happy & Sad) using CNN & Keras.mp4 (130.3 MB) 1 -What is transfer learning.mp4 (11.62 MB) 1 -Project 12 - Flower detection using TFHub and Transfer Learning.mp4 (293.6 MB) 1 -Introduction to Keras Applications.mp4 (87.11 MB) 1 -Project - 13 Object Detection using Keras Applications.mp4 (202.12 MB) 1 -01 Welcome to my Universe.mp4 (53 MB) 10 -10 Python Function & Method.mp4 (43.35 MB) 11 -11 Python List & Array part 2.mp4 (60.53 MB) 12 -12 Python List & Array - Part 3.mp4 (68.99 MB) 13 -13 Python Tuple, Set and Dictionary.mp4 (93.52 MB) 14 -14 Python String.mp4 (57.79 MB) 15 -15 Python Dates & Math Modules.mp4 (54.49 MB) 16 -16 Custom type in Python.mp4 (25.32 MB) 17 -17 Class, Object, Object properties, Constructor and methods.mp4 (89.65 MB) 18 -18 Python Scope, Private fields and methods.mp4 (140.28 MB) 19 -19 Python Inheritance.mp4 (146.94 MB) 2 -02 Variables & Value assignments.mp4 (32.09 MB) 20 -20 Python Polymorphism & Abstraction.mp4 (151.07 MB) 21 -21 Python Iterator.mp4 (45.82 MB) 22 -22 Python Lambda.mp4 (19.27 MB) 23 -23 Python Files.mp4 (88.32 MB) 24 -24 Python Try Except.mp4 (47.74 MB) 3 -03 Python - Data types & Operators.mp4 (81.93 MB) 4 -04 Python - Operators.mp4 (105.98 MB) 5 -05 Python Statements - if, else.mp4 (51.8 MB) 6 -06 Solution of Homework on Python Statements.mp4 (75.6 MB) 7 -07 Python For Loop.mp4 (39.38 MB) 8 -08 Python - While Loop.mp4 (24.52 MB) 9 -09 Python List & Array - Part 1.mp4 (72.09 MB) 1 -01 Creating numpy arrays.mp4 (64.64 MB) 2 -02 Numpy Array Attributes & Functions.mp4 (52.49 MB) 3 -03 Indexing and slicing numpy array.mp4 (110.59 MB) 4 -04 Numpy Copy & View.mp4 (55.16 MB) 5 -05 Reshape, Resize, Ravel & Flatten.mp4 (62.46 MB) 6 -06 Arithmetic Operations & Aggregations.mp4 (65.76 MB) 1 -01 OpenCV - Reading, Showing, Writing and Saving Images.mp4 (63.72 MB) 10 -10 OpenCV - Edge Detection.mp4 (227.8 MB) 11 -11 OpenCV - Draw Contours.mp4 (100.66 MB) 12 -12 OpenCV - Understanding and creating own image using Numpy.mp4 (212.67 MB) 13 -13 OpenCV - Color detection.mp4 (239.7 MB) 14 -14 OpenCV - Detect simple geometric shapes.mp4 (144.38 MB) 15 -15 OpenCV - Detect Corners.mp4 (138.12 MB) 16 -16 OpenCV - Motion detection and tracking.mp4 (110.16 MB) 2 -02 OpenCV - Numpy image and OpenCV image properties.mp4 (73.86 MB) 3 -03 OpenCV - Image manipulating [Resize, Blur, Color].mp4 (107.94 MB) 4 -04 OpenCV - 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11 GB | 7h 18min 57s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 -Introduction.mp4 (84.34 MB) 1 -Displaying Gaming Window.mp4 (51.68 MB) 2 -Renderer for the Game.mp4 (24.04 MB) 3 -Players Section.mp4 (95.21 MB) 4 -Font Library Initialization.mp4 (36.18 MB) 5 -Players Text Sections.mp4 (217.61 MB) 6 -Random Generator.mp4 (97.78 MB) 7 -Dice Creation Part.mp4 (84.06 MB) 8 -Winning Draw Condition - Assignment.mp4 (10.4 MB) 1 -Crash Course.mp4 (2.97 GB) 1 -Car Racing Game Files.zip (594.19 KB) 1 -Displaying Game Window.mp4 (54.95 MB) 10 -Score Functionality.mp4 (177.35 MB) 2 -Creating Renderer for the Game.mp4 (30.01 MB) 3 -Game Loop and Event Handler Function.mp4 (49.06 MB) 4 -Road Movement.mp4 (238.55 MB) 5 -Grass and Trees Movement.mp4 (176.47 MB) 6 -Player Car Movement.mp4 (123.78 MB) 7 -Opponent Car Movement.mp4 (104.49 MB) 8 -Collision Detection between Opponent and Player Cars.mp4 (151.14 MB) 9 -Checking Road Sides Collision.mp4 (49.33 MB) 1 -dino.zip (11.55 KB) 1 -Displaying GUI Window.mp4 (78.98 MB) 10 -Replay Game.mp4 (70.33 MB) 11 -Complete Game - 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Full Stack Machine Learning | Django REST Framework, React Published 2/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 8.88 GB| Duration: 18h 33m Learn to Build full-fledged Stock Prediction Portal using Python, Django REST Framework, React.js and Machine Learning What you'll learn REST API Development Backend Development with Django and Frontend with React JS Machine Learning with Neural Networks Deep Learning with LSTM Models Data Analysis, Data Manipulation and Data Visualization How to decide which type of machine learning to use for specific problems. Where deep learning comes in and how neural networks work. Why a neural network is the best choice for this specific stock prediction use case. Integration of Machine Learning Models with Web Applications Requirements Basic knowledge of Python & Django Basic Knowledge of HTML, CSS and JavaScript Description Not just another course, this is a hands-on program where you'll build a complete, stock prediction portal using Django REST Framework, React.js, and Machine Learning. Course Flow:First, you'll learn the fundamentals of Django REST Framework, including what REST APIs are and how to create them. If you're already familiar with Django REST Framework, you can skip this section.Next, we'll dive into the fundamentals of React.js to build the front-end of our application.After that, we'll connect Django REST Framework with React.js to build the portal. This will include implementing a user authentication system and other essential features needed for a functional application.Once the portal structure is ready, it's time to dive into machine learning. This course is not a Machine Learning Bootcamp, so it won't cover every ML concept in detail. Instead, it takes a practical approach focused on building a stock prediction portal as a real-world use case.Machine Learning Section:The basics of machine learning and its different types.How to choose the right ML approach for a specific problem.When and why to use deep learning and how neural networks work.Why a neural network is the best choice for this stock prediction use case.You'll build an LSTM model in Jupyter Notebook to analyze stock price data and make predictions. Once the model is ready, you'll create an API to integrate it with the portal and display the results.This course gives you the full experience of building a real-world stock prediction portal-a full-stack project combining Django REST Framework, React.js, and machine learning.Additional Skills You'll Learn:Data manipulation using Pandas and NumPy.Data visualization using Matplotlib.By the end of this course, you'll have built a complete project while gaining hands-on experience in both web development and machine learning.Important Disclaimer: This prediction model should NOT be implemented in real stock market trading. It is developed purely for educational purposes to help you understand the principles of machine learning and stock market data. Relying on this model for actual investments can lead to significant financial risks. Who this course is for Beginner programmers who want to learn how to build web applications using Python, Django & React Developers with experience in other programming languages who want to transition to Machine Learning Students who are interested in pursuing a career in full stack machine learning development Anyone who wants to improve their knowledge of Django and build upon their existing Python skills Individuals who have some experience with Django but want to level up their skills by building advanced custom projects. 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