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  How to crack Windows password? Note: For education purpose only   How to hack We are going to hack windows account with a simple password. Windows uses NTLM hashes to encrypt passwords. We will use the NTLM cracker tool in Cain and able to do that.   Cain and able Cain and able cracker can be used to crack passwords using: Directory attack Brute force Cryptanalysis   We will use the dictionary attack in this example. You will need to download the dictionary attack wordlist from our telegram channel.   Steps to follow: Step:1 For this detonation, we need to create a windows accounts with the password qwerty on windows 7.   Step:2 Open Cain and able (windows software) make sure the cracker tab is selected.   Step:3 Click on the add button on the toolbar. The following dialog windows will appear:   Step:4 The local users account will be display as follows. Note the result show will be of the user ac...

Color  Matching rules 1.      Focus on neutral  color Black White Gary Navy Light Sky Blue Brown Khaki   2.     Use small pops of brighter colures This is where you do get to do a bit of experimentation. Just remember what happen to a pizza if you overload it with multiple veggies or meat types that don’t go well together. Same principle applies when it comes to colors in your wardrobe.   3.     Consider but don’t overthink your skin tone When dressing up, men often wonder: “does this color look good with my skin tones?” ever asked this worry about this too much. It’s more a secondary issue, and don’t a huge limiting factors when it comes to what color you can wear. The key as always, is moderation. Stick with only small touch of 1-2 brighter color to prevent them from clashing with OR overpowering the rest of your outfit. Shouldn’t skin color matter here? Well, yes to a creat...

  Performance analysis Model evaluation helps best model that represents our data and how well the choose model in the future.   Resources ·          Medium blogs ·          Andrew Ng ML courses ·          Fast.ai ·          Machine learning mastery ·          Check our 100daysofmicode   Concept ·          Confusion matrix, accuracy, f1 score, AUC ROC, Bias variance tradeoff. R^2. MSE, Error rate etc.   Machine Learning To star machine learning, first understanding the terminologies around machine learning and its types (supervised learning, unsupervised learning, Dimensionality reduction techniques, time series etc.   Resources ·          Machine learning...