├── .gitignore
├── cern
    ├── french-a2.1-certificate-anish-sachdeva.pdf
    ├── french-a2.2-certificate-anish-sachdeva.pdf
    └── french-b1.1-certificate-anish-sachdeva.pdf
├── LICENSE
└── README.md


/.gitignore:
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1 | .idea
2 | 


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/LICENSE:
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 1 | Copyright 2020 anishLearnsToCode
 2 | 
 3 | Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
 4 | documentation files (the "Software"), to deal in the Software without restriction, including without limitation the
 5 | rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit
 6 | persons to whom the Software is furnished to do so, subject to the following conditions:
 7 | 
 8 | The above copyright notice and this permission notice shall be included in all copies or substantial portions of the
 9 | Software.
10 | 
11 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
12 | WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
13 | COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
14 | OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
15 | 


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/README.md:
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  1 | # Courses + Certifications
  2 | 
  3 | A comprehensive list of all the courses that I have successfully completed 
  4 | during university and also on other platforms such as Coursera, Udemy etc.
  5 | 
  6 | > Links to solution repositories are marked as :octocat: and certificate links marked as 🎓.
  7 | 
  8 | ## Index
  9 | - [B. Tech Mathematics and Computing @ DTU](#mathematics--computing--delhi-technological-university)
 10 | - [Coursera](#coursera)
 11 | - [HackerRank](#hackerrank)
 12 | - [Udemy](#udemy)
 13 | - [CERN](#cern)
 14 | - [Trinity College London](#trinity-college-london)
 15 | - [Coding Ninjas](#coding-ninjas)
 16 | 
 17 | ## Mathematics & Computing @ Delhi Technological University
 18 | <details>
 19 |     <summary><b>Semester - I</b></summary>
 20 |     <ul>
 21 |         <li>Mathematics - I (MA-101)</li>
 22 |         <li>Physics - I (AP-101)</li>
 23 |         <li>Basic Electrical Engineering (EE-102)</li>
 24 |         <li>Programming Fundamentals (CO-101)</li>
 25 |         <li>Engineering Graphics (ME-102)</li>
 26 |         <li>Introduction to Environmental Science (EN-102)</li>
 27 |     </ul>
 28 | </details>
 29 | 
 30 | <details>
 31 |     <summary><b>Semester - II</b></summary>
 32 |     <ul>
 33 |         <li>Mathematics - II (MA-102)</li>
 34 |         <li>Physics - II (AP-102)</li>
 35 |         <li>Chemistry (AC-101)</li>
 36 |         <li>Basic Mechanical Engineering (ME-101)</li>
 37 |         <li>Workshop Practice (ME-103)</li>
 38 |         <li>Communication Skills (HU-101)</li>
 39 |     </ul>
 40 | </details>
 41 | 
 42 | <details>
 43 |     <summary><b>Semester - III</b></summary>
 44 |     <ul>
 45 |         <li>Data Structures (CS-251)</li>
 46 |         <ol>
 47 |             <li><a href="https://github.com/anishLearnsToCode/cs-251-data-structures">Data Structures Lab</a></li>
 48 |         </ol>
 49 |         <li>Discrete Mathematics (MC-201)</li>
 50 |         <li>Mathematics - III (MC-203)</li>
 51 |         <li>Probability and Statistics (MC-205)</li>
 52 |         <li>Engineering Analysis and Design (MC-207)</li>
 53 |         <li>Fundamentals of Management (MG-201)</li>
 54 |     </ul>
 55 | </details>
 56 | 
 57 | <details>
 58 |     <summary><b>Semester - IV</b></summary>
 59 |     <ul>
 60 |         <li>Algorithm Design and Analysis (CS-262)</li>
 61 |         <li>Real Analysis (MC-202)</li>
 62 |         <li>Computer Organization and Architecture (MC-206)</li>
 63 |         <li>Linear Algebra (MC-208)</li>
 64 |         <li>Scientific Computing (MC-204)</li>
 65 |         <li>Engineering Economics (HU-202)</li>
 66 |     </ul>
 67 | </details>
 68 | 
 69 | <details>
 70 |     <summary><b>Semester - V</b></summary>
 71 |     <ul>
 72 |         <li>Stochastic Process (MC-303)</li>
 73 |         <li>Operating Systems (MC-301)</li>
 74 |         <li>Computer Vision (EC-353)</li>
 75 |         <ol>
 76 |             <li><a href="https://github.com/anishLearnsToCode/computer-vision-basics">Computer Vision Basics @ Coursera</a> </li>
 77 |             <li><a href="https://github.com/anishLearnsToCode/from-mars-to-hollywood-with-a-stop-at-the-hospital">From Mars To Hollywood with a Stop at the Hospital @ Coursera</a> </li>
 78 |             <li><a href="https://github.com/anishLearnsToCode/nature-encoded-fusion">Representation Learning and Nature Encoded Fusion Technique for Heterogeneous Sensor Networks</a> </li>
 79 |         </ol>
 80 |         <li>Technical Communication (HU-301)</li>
 81 |     </ul>
 82 | </details>
 83 | 
 84 | <details>
 85 |     <summary><b>Semester - VI</b></summary>
 86 |     <ul>
 87 |         <li>Database Management System (MC-302)</li>
 88 |         <li>Theory of Computation (MC-304)</li>
 89 |         <li>Financial Engineering (MC-306)</li>
 90 |         <li>Computer Networks (MC-308)</li>
 91 |         <li>Professional Ethics and Human Values (HU-304)</li>
 92 |     </ul>
 93 | </details>
 94 | 
 95 | <details>
 96 |     <summary><b>Semester - VII</b></summary>
 97 |     <ul>
 98 |         <li>Graph Theory (MC-405)</li>
 99 |         <ol>
100 |             <li><a href="https://github.com/anishLearnsToCode/graph-theory-lab">Graph Theory Lab</a> </li>
101 |             <li><a href="https://github.com/anishLearnsToCode/image2sketch">Image-2-Sketch 🖼✏</a> </li>
102 |         </ol>
103 |         <li>Cryptography & Network Security (MC-407)</li>
104 |         <ol>
105 |             <li><a href="https://github.com/anishLearnsToCode/intro-to-applied-cryptography">Introduction to Applied Cryptography Specialization @Coursera</a> </li>
106 |             <li><a href="https://github.com/anishLearnsToCode/applied-cryptography">Applied Cryptography Specialization @Coursera</a> </li>
107 |             <li><a href="https://github.com/anishLearnsToCode/cryptography">Interactive Guide to Cryptography</a> </li>
108 |             <li><a href="https://github.com/anishLearnsToCode/DES">Data Encryption Standard (DES)</a> </li>
109 |             <li><a href="https://github.com/anishLearnsToCode/lsb-image-steganography">Least Significant Bit (LSB) Image Steganography</a> </li>
110 |         </ol>
111 |         <li>Mathematical Modelling & Simulation (MC-409)</li>
112 |         <ol>
113 |             <li><a href="https://github.com/anishLearnsToCode/mathematical-modelling-lab">Mathematical Modelling & Simulation Lab</a> </li>
114 |         </ol>
115 |         <li>Natural Language Processing (IT-425)</li>
116 |         <ol>
117 |             <li><a href="https://github.com/anishLearnsToCode/nlp-deeplearning-ai">Natural Language Processing ~DeepLearning.ai @Coursera</a> </li>
118 |             <li><a href="https://github.com/anishLearnsToCode/porter-stemmer">Porter Stemmer</a> </li>
119 |             <li><a href="https://github.com/anishLearnsToCode/stop-words-removal">Stop Words Removal</a> </li>
120 |             <li><a href="https://github.com/anishLearnsToCode/lemmatization">Lemmatization</a> </li>
121 |             <li><a href="https://github.com/anishLearnsToCode/bow-representation">Bag of Words Representation</a> </li>
122 |             <li><a href="https://github.com/anishLearnsToCode/word-embeddings">Continuous Bag of Words (CBOW) Model</a> </li>
123 |             <li><a href="https://github.com/anishLearnsToCode/word-sense-disambiguation">Word Sense Disambiguation (WSD)</a> </li>
124 |         </ol>
125 |     </ul>
126 | </details>
127 | 
128 | <details>
129 |     <summary><b>Semester - VIII</b></summary>
130 |     <ul>
131 |         <li>Partial Differential Equations (MC-406)</li>
132 |         <li>Fuzzy Set & Fuzzy Logic (MC-432)</li>
133 |         <li>Pattern Recognition (EC-416)</li>
134 |         <ol>
135 |             <li><a href="https://github.com/anishLearnsToCode/pattern-recognition-lab">Pattern Recognition Lab Experiments</a> </li>
136 |         </ol>
137 |     </ul>
138 | </details>
139 | 
140 | ## Coursera
141 | ### Courses
142 | - [Version Control With Git](https://www.coursera.org/learn/version-control-with-git/)  [🎓](https://www.coursera.org/account/accomplishments/verify/UPCHWGAGX66D)
143 | - [Competitive Programmer's Core Skills](https://www.coursera.org/learn/competitive-programming-core-skills/) [🎓](https://www.coursera.org/account/accomplishments/verify/WPS6KUZMT6YL)
144 | - [How To Write and Publish a Scientific Paper](https://www.coursera.org/learn/how-to-write-a-scientific-paper/) [🎓](https://www.coursera.org/account/accomplishments/verify/V6NGNQ5ZYQL7)
145 | - [Data Science Math Skills](https://www.coursera.org/learn/datasciencemathskills) [🎓](https://www.coursera.org/account/accomplishments/verify/QVKVPWWLEZU3)
146 | - [Introduction to Calculus](https://www.coursera.org/learn/introduction-to-calculus) [🎓](http://coursera.org/verify/NQMRJLG6VTRY)
147 | - [Functional Programming Principles in Scala](https://www.coursera.org/learn/progfun1/) [🎓](http://coursera.org/verify/CTQZVZZZKT5W)
148 | - [Machine Learning (Andrew Ng) ~Stanford](https://www.coursera.org/learn/machine-learning) 
149 |   [🎓](http://coursera.org/verify/PY3HEUJFNZ2M) 
150 |   [:octocat:](https://github.com/anishLearnsToCode/ml-stanford)
151 | - [Introduction to Programming With MATLAB](https://www.coursera.org/learn/matlab) [🎓](http://coursera.org/verify/3S3AANA8JQTN) [:octocat:](https://github.com/anishLearnsToCode/introduction-to-programming-with-matlab)
152 | - [Computer Vision Basics](https://www.coursera.org/learn/computer-vision-basics) [🎓](http://coursera.org/verify/9H6SGUGD6YNM) [:octocat:](https://github.com/anishLearnsToCode/computer-vision-basics)
153 | - [Image & Video Processing: From Mars To Hollywood With a Stop At The Hospital](https://www.coursera.org/learn/image-processing) [🎓](http://coursera.org/verify/JPV9JYDEZVBQ) [:octocat:](https://github.com/anishLearnsToCode/from-mars-to-hollywood-with-a-stop-at-the-hospital)
154 | 
155 | ### Specializations
156 | - [Deep Learning ~ deeplearning.ai](https://www.coursera.org/specializations/deep-learning) [:octocat:](https://github.com/anishLearnsToCode/deep-learning-ai)
157 |     - [Neural Networks & Deep Learning](https://www.coursera.org/learn/neural-networks-deep-learning?specialization=deep-learning) 
158 |       [:octocat:](https://github.com/anishLearnsToCode/neural-networks-deep-learning)
159 |       [🎓](http://coursera.org/verify/2QP8D8FZ28B7)
160 |     - [Improving Deep Neural Networks: Hyperparameterization Tuning, Regularization and Optimization](https://www.coursera.org/learn/deep-neural-network?specialization=deep-learning) 
161 |       [:octocat:](https://github.com/anishLearnsToCode/improving-deep-neural-networks)
162 |       [🎓](https://coursera.org/verify/WLLHPCZSRZ2Y)
163 |     - [Structuring Machine Learning Projects](https://www.coursera.org/learn/machine-learning-projects?specialization=deep-learning) 
164 |       [:octocat:](https://github.com/anishLearnsToCode/structuring-ml-projects)
165 |       [🎓](https://coursera.org/verify/SX8LNSPRY6NR)
166 |     - [Convolutional Neural Networks](https://www.coursera.org/learn/convolutional-neural-networks?specialization=deep-learning) 
167 |       [:octocat:](https://github.com/anishLearnsToCode/cnn-deeplearning-ai)
168 |       [🎓](https://coursera.org/verify/KN92M6VXUXYA)
169 |     - [Sequence Models](https://www.coursera.org/learn/nlp-sequence-models)
170 |       [:octocat:](https://github.com/anishLearnsToCode/sequence-models)
171 |       [🎓](https://coursera.org/verify/PA9BDUHSNER9)
172 |    
173 | - [Natural Language Processing ~ deeplearning.ai](https://www.coursera.org/specializations/natural-language-processing) [:octocat:](https://github.com/anishLearnsToCode/nlp-deeplearning-ai)
174 |     - [Natural Language Processing with Classification and Vector Spaces](https://www.coursera.org/learn/classification-vector-spaces-in-nlp) [:octocat:](https://github.com/anishLearnsToCode/nlp-classification-vector-spaces) [🎓](http://coursera.org/verify/LGBF7J8S99RG)
175 |     - [Natural Language Processing with Probabilistic Models](https://www.coursera.org/learn/probabilistic-models-in-nlp) [:octocat:](https://github.com/anishLearnsToCode/nlp-probabilistic-models) [🎓](https://coursera.org/verify/PGMHY4YCG85G)
176 | 
177 | - [Machine Learning ~ University of Washington](https://www.coursera.org/specializations/machine-learning) [:octocat:](https://github.com/anishLearnsToCode/ml-uni-washington)
178 |     - [Machine Learning Foundations: A Case Study Approach](https://www.coursera.org/learn/ml-foundations/) [🎓](https://www.coursera.org/account/accomplishments/verify/GCKW98KUK5X5) [:octocat:](https://github.com/anishLearnsToCode/ml-foundations-case-study-approach)
179 |     - [Machine Learning: Regression](https://www.coursera.org/learn/ml-regression/) [🎓](https://www.coursera.org/account/accomplishments/verify/UQ9UZPVU6RMF)
180 |     - [Machine Learning: Classification](https://www.coursera.org/learn/ml-classification/) [🎓](https://www.coursera.org/account/accomplishments/verify/BCZ8GWHTNV9J)
181 |     
182 | - [Introduction to Applied Cryptography ~ University of Colorado](https://www.coursera.org/specializations/introduction-applied-cryptography) 
183 |   [:octocat:](https://github.com/anishLearnsToCode/intro-to-applied-cryptography)
184 |     - [Classical Cryptosystems and Core Concepts](https://www.coursera.org/learn/classical-cryptosystems) 
185 |     [:octocat:](https://github.com/anishLearnsToCode/classical-cryptosystems-core-concepts) 
186 |     [🎓](https://www.coursera.org/verify/7FVGRVKAFW73)   
187 |     - [Mathematical Foundations for Cryptography](https://www.coursera.org/learn/mathematical-foundations-cryptography) 
188 |     [:octocat:](https://github.com/anishLearnsToCode/mathematical-foundations-cryptography) 
189 |     [🎓](http://coursera.org/verify/ZPQF7QGV22XT)
190 |     - [Symmetric Cryptography](https://www.coursera.org/learn/symmetric-crypto)
191 |     [:octocat:](https://github.com/anishLearnsToCode/symmetric-cryptography)
192 |     [🎓](http://coursera.org/verify/KPJPY9LZAFBP)
193 |     - [Asymmetric Cryptography and Key Management](https://www.coursera.org/learn/asymmetric-crypto)
194 |     [:octocat:](https://github.com/anishLearnsToCode/asymmetric-cryptography-key-management)
195 |     [🎓](http://coursera.org/verify/KLZSC7H2JH72)
196 |     
197 |  - [Applied Cryptography ~ University of Colorado](https://www.coursera.org/specializations/applied-crypto)
198 |    [:octocat:](https://github.com/anishLearnsToCode/applied-cryptography)
199 |    - [Cryptography and Information Theory](https://www.coursera.org/learn/crypto-info-theory) 
200 |    [:octocat:](https://github.com/anishLearnsToCode/cryptography-and-information-theory)
201 |    [🎓](http://coursera.org/verify/XPFM28CP9KHX)
202 |    - [Symmetric Cryptography](https://www.coursera.org/learn/symmetric-crypto)
203 |    [:octocat:](https://github.com/anishLearnsToCode/symmetric-cryptography)
204 |    [🎓](http://coursera.org/verify/KPJPY9LZAFBP)
205 |    - [Asymmetric Cryptography and Key Management](https://www.coursera.org/learn/asymmetric-crypto)
206 |    [:octocat:](https://github.com/anishLearnsToCode/asymmetric-cryptography-key-management)
207 |    [🎓](http://coursera.org/verify/KLZSC7H2JH72)
208 |    - [Cryptographic Hash and Integrity Protection](https://www.coursera.org/learn/cryptographic-hash-integrity-protection)
209 |    [:octocat:](https://github.com/anishLearnsToCode/cryptographic-hash-integrity-protection)
210 |    [🎓](http://coursera.org/verify/XPG8L6K9URV9)
211 |     
212 | - [Data Structures and Algorithms ~ University of California San Diego](https://www.coursera.org/specializations/data-structures-algorithms) [:octocat:](https://github.com/anishLearnsToCode/data-structures-algorithms)
213 |     - [Algorithmic Toolbox](https://www.coursera.org/learn/algorithmic-toolbox) [🎓](http://coursera.org/verify/UWWDZKHQA86D) [:octocat:](https://github.com/anishLearnsToCode/algorithmic-toolbox)
214 |     
215 | - [Python For Everybody ~ University of Michigan](https://www.coursera.org/specializations/python) [:octocat:](https://github.com/anishLearnsToCode/python-for-everybody)
216 |     - [Programming for Everybody (Getting started with Python)](https://www.coursera.org/learn/python/) [🎓](https://www.coursera.org/account/accomplishments/records/D5K85FFC6FZT)
217 |     - [Python Data Structures](https://www.coursera.org/learn/python-data/) [🎓](https://www.coursera.org/verify/W6M2HC2WW79T)
218 | 
219 | ## HackerRank
220 | - [Java (Basic)](https://www.hackerrank.com/skills-verification) [🎓](https://www.hackerrank.com/certificates/e7bb326e632c) [:octocat:](https://github.com/anishLearnsToCode/hackerrank-java-basic-skill-test)  
221 | - [JavaScript (Basic)](https://www.hackerrank.com/skills-verification) [🎓](https://www.hackerrank.com/certificates/03ed5b8c542a) [:octocat:](https://github.com/anishLearnsToCode/hackerrank-js-basic-skill-test)  
222 | - [Problem Solving (Basic)](https://www.hackerrank.com/skills-verification) [🎓](https://www.hackerrank.com/certificates/c0a4672b1159) [:octocat:](https://github.com/anishLearnsToCode/hackerrank-problem-solving-skill-test)  
223 | - [Problem Solving (Intermediate)](https://www.hackerrank.com/skills-verification) [🎓](https://www.hackerrank.com/certificates/6ef045988fd1) [:octocat:](https://github.com/anishLearnsToCode/hackerrank-problem-solving-intermediate-skill-test)  
224 | - [Python (Basic)](https://www.hackerrank.com/skills-verification) [🎓](https://www.hackerrank.com/certificates/306084b1c4cc) [:octocat:](https://github.com/anishLearnsToCode/hackerrank-python-basic-skill-test)  
225 | 
226 | ## Udemy 
227 | - [3-Minute French Course 1](https://www.udemy.com/course/3-minute-french-full-course-1/) [🎓](https://www.udemy.com/certificate/UC-1KECT4EP/)
228 | - [3-Minute French Course 2](https://www.udemy.com/course/3-minute-french-course-2/) [🎓](https://www.udemy.com/certificate/UC-QA36OCQA/)
229 | - [3-Minute French Course 3](https://www.udemy.com/course/3-minute-french-course-3) [🎓](https://cern.udemy.com/certificate/UC-e1a63b61-40e1-4cd7-967f-4131ea6a905e)
230 | - [Web Design for Web Developers](https://www.udemy.com/course/web-design-secrets/) [🎓](https://www.udemy.com/certificate/UC-8KTW4FNX/)
231 | - [The Complete PL/SQL Bootcamp : "Beginner to Advanced PL/SQL"](https://www.udemy.com/course/plsql-beginner-to-advanced-become-a-perfect-plsql-developer) [🎓](https://www.udemy.com/certificate/UC-cdd4269b-3e47-4a36-a276-3fe321bc2141)
232 | - [Clean Code](https://www.udemy.com/course/writing-clean-code) [🎓](https://www.udemy.com/certificate/UC-6fb021d4-5233-46ac-a9bb-34aa7db0aafa/)
233 | 
234 | ## CERN
235 | - French A2.1 Certification [🎓](cern/french-a2.1-certificate-anish-sachdeva.pdf)
236 | - French A2.2 Certification [🎓](cern/french-a2.2-certificate-anish-sachdeva.pdf)
237 | - French B1.1 Certification [🎓](cern/french-b1.1-certificate-anish-sachdeva.pdf)
238 | 
239 | ## Trinity College London
240 | <details>
241 |     <summary><b>Plectrum Guitar</b></summary>
242 |     <ul>
243 |         <li>Plectrum Guitar Grade 1 (Distinction)</li>
244 |         <li>Plectrum Guitar Grade 2 (Distinction)</li>
245 |         <li>Plectrum Guitar Grade 3 (Merit)</li>
246 |         <li>Plectrum Guitar Grade 4 (Distinction)</li>
247 |     </ul>
248 | </details>
249 | 
250 | ## Coding Ninjas
251 | <details>
252 |     <summary><b>Courses</b></summary>
253 |     <ul>
254 |         <li>Alchemy: Web Development with Ruby on Rails</li>
255 |         <li>Eminence: Competitive Programming</li>
256 |         <li>Nucleus: Java with Data Structures</li>
257 |     </ul>
258 | </details>
259 | 


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